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We’re looking for an experienced, full-stack engineer who can build features and improvements end to end. We care about the user experience from API design all the way to UI. We’re looking for people who love taking complex concepts and making experience simple and accessible.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript
• Demonstrated design and UX sensibilities
• Knowledge of API standards including REST or GraphQL

What you'll be doing

• Own a technical area by leading a team
• Work primarily in Typescript, React, and GraphQL
• Build UI components, libraries, tools, and services that power the Paperspace platform
• Maintain and develop using GraphQL
• Collaborate on design and UX
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Create a secrets product to be used in people’s workload
• Create a Jupyter based IDE for our MLOps platform
• Created a design system and migrated the app to use it
• A workflows product that helps people build DAGs to run their machine learning workloads
• Create pages that show the status of a scalable deployment and show accompanying metrics and logs

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced hands-on Engineering Manager who can create a technical vision and lead a team to implement it.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 3+ years of engineering management experience, with 6+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go
• Experience with system, API, infrastructure design using cloud concepts such as storage volumes, private networks, load balancers, virtual machines

What you'll be doing

• Lead a team of talented and diverse engineers
• Collaborate with product and fellow engineering managers on prioritizing work
• Work in TypeScript and Go to help your team be successful
• Maintain cloud services and features involving load balancing, posix shared storage, object storage, and software defined networks
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Implemented one-click VPC provisioning across many hypervisors
• Added one-click VM snapshots
• Created a one-click managed kubernetes service
• Track storage utilization of VMs and shared storage
• Add support for multi-GPU VM types

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced platform engineer who can integrate infrastructure into a platform with a focus on reliability and scalability. Our teams and users will trust and rely on the platform you help build to do their best work and build their businesses.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go
• Experience with system, API, and infrastructure design using cloud concepts such as storage volumes, private networks, container scheduling, and Kubernetes

What you'll be doing

• Own a technical area by leading a team
• Work primarily in Typescript/Javascript and some Go
• Implement MLOps platform features that integrate with Kubernetes supporting multiple clouds providers
• Integrate cloud capabilities with the platform such as: storage, private networks, and load balancers
• Add and maintain integrations to platform entities such as storage providers, datasets, models, and metrics
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Integrating storage quotas with a distributed file system and Kubernetes
• Wrote a fluent-bit plugin in Rust to handle multi-tenancy authentication for logging
• Created a multi-node image cacher for Kubernetes that supports limits
• Create an architecture to store datasets with a unified interface to multiple S3 providers
• Create a user facing YAML spec to be used for a workflow engine to support CI/CD primitives
• Create a terraform module for cluster provisioning and a CLI to facilitate installation

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced, full-stack engineer who can build features and improvements end to end. We care about the user experience from API design all the way to UI. We’re looking for people who love taking complex concepts and making experience simple and accessible.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 6+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript
• Demonstrated design and UX sensibilities
• Knowledge of API standards including REST or GraphQL

What you'll be doing

• Work primarily in Typescript, React, and GraphQL
• Build UI components, libraries, tools, and services that power the Paperspace platform
• Maintain and develop using GraphQL
• Collaborate on design and UX
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Create a secrets product to be used in people’s workload
• Create a Jupyter based IDE for our MLOps platform
• Created a design system and migrated the app to use it
• A workflows product that helps people build DAGs to run their machine learning workloads
• Create pages that show the status of a scalable deployment and show accompanying metrics and logs

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced network engineer who can architect, scale, and maintain Paperspace’s global network. We’re looking for people to help build the backbone for a high performance cloud.

What we're looking for

• 6+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling infrastructure using engineering practices with languages such as Python, Go, or Bash
• Experience with linux OS, monitoring, and alerting
• Expert-level understanding of TCP/IP, IPv4/IPv6
• 2+ years experience in a 24/7 operational environment
• Understanding overlay and underlay networking concepts
• Demonstrated experience with software-defined networking solutions
• Experience with architecting, maintaining, and scaling high performance network architectures

What you'll be doing

• Providing hands-on technical design and engineering for network architecture and reliability
• Monitor the network and resolve any issues
• Provide support to customers with network issues
• Managing network capacity and providing forecasting for future network needs
• Collaborate on network automation solutions

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We’re looking for an experienced, platform engineer who can integrate infrastructure into a platform with a focus on reliability and scalability. Our teams and users will trust and rely on the platform you help build to do their best work and build their businesses.

What we're looking for

• Strong interest in development platforms, MLOps, CI/CD, infrastructure or making products for technical teams
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 6+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go
• Experience with system, API, and infrastructure design using cloud concepts such as storage volumes, private networks, container scheduling, and Kubernetes

What you'll be doing

• Work primarily in Typescript/Javascript and some Go
• Implement MLOps platform features that integrate with Kubernetes supporting multiple clouds providers
• Integrate cloud capabilities with the platform such as: storage, private networks, and load balancers
• Add and maintain integrations to platform entities such as storage providers, datasets, models, and metrics
• Ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

Technical problems the team has worked on

• Integrating storage quotas with a distributed file system and Kubernetes
• Wrote a fluent-bit plugin in Rust to handle multi-tenancy authentication for logging
• Created a multi-node image cacher for Kubernetes that supports limits
• Create an architecture to store datasets with a unified interface to multiple S3 providers
• Create a user facing YAML spec to be used for a workflow engine to support CI/CD primitives
• Create a terraform module for cluster provisioning and a CLI to facilitate installation

At Paperspace, we carefully consider a wide range of factors when determining compensation, including your background and experience. The estimated salary range for this position is estimated to be $125,000 - $200,000/year. Total compensation for this position may also include Incentive Stock Options, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. We encourage all interested candidates to apply.

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Team

The Applied team safely brings OpenAI's technology to the world. We released the GPT-3 API and Codex, which powers GitHub's Copilot and most recently, ChatGPT. 

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Engineering team wraps a massive fleet of GPUs in scalable, robust, infrastructure powered by Kubernetes, Go, Python, Terraform, Kafka, Postgres, and Snowflake. Our APIs are powered by Python Flask and OpenAPI with a React frontend.

About the Role

We are looking for an engineer who can lead us to sustained economic and user growth.

In this role, you will:

• Build tooling to help us analyze and optimize major cost centers in our infrastructure, and then use that data to make our fleet more economically efficient.
• Build core infrastructure required to sustain and expand revenue operations across a growing portfolio of products, pricing plans, and customers.
• Work closely with finance and product management to help with infrastructure capacity planning, pricing, and profitability forecasts.

You might thrive in this role if you:

• Have at least 5 years of professional software engineering experience.
• Have developed or integrated with a billing platform for usage based business models.
• Have an understanding of the basic business dynamics of SaaS businesses and how engineering plays a role in this.
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
• Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale or scope.
• Are self-directed and enjoy figuring out the most important problem to work on.
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
• Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Scaling team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.

About the Role

As a SWE in Hardware Health, you will work to maintain a sophisticated and comprehensive suite of hardware health tests and collaborate with researchers and our Supercomputing team on root-causing and reliably reproducing newly discovered problems.

The team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• A balance of building and operational skills
• Excellent abilities developing in python and shell scripting
• A high degree of comfort digging into noisy data with SQL, PromQL, and Pandas
• Experience developing reproducible analyses / building dashboards and visualizations
• A high level of detail orientation and a good intuition for when results are “too good/bad to be true”
• A strong sense of ownership causing them to very carefully monitor outcome of deployed updates
• Prior TL experience as this is a 0-1 effort with team growth on the horizon

Bonus Points if you have expertise and interest in low level details of hardware components, protocols, and associated Linux tooling (PCIe, networking, power management, kernel perf tuning)

By applying to this role, you will be considered for Research Engineer roles across all teams at OpenAI.

About the Role

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed. 

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research 

Nice to have: 

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

Below are some of our current teams and the work you may do on them. 

• Algorithms: Conduct exploratory research and drive algorithmic and architectural advances on the critical path to AGI. Algos has been responsible for a number of high profile OpenAI releases including GPT-2, Image GPT, Jukebox, DALL-E.
  
  
• Alignment: Fine-tune large language models to perform tasks in accordance with the user's intentions. Explore learning from human feedback and assisting humans evaluating AI. Recent projects: InstructGPT, Book summarization
  
  
• Applied AI Research: Develop innovative solutions and open-ended research to solve real-world problems. Care about applications driven by user feedback and long-term research ​​with significant impact on products, while keeping a high safety product standard. Recent project: Text and Code Embeddings in OpenAI API
  
  
• Code Generation: Research and develop AI programmers, the neural models that write, debug and improve computer programs. Creating AI which can solve hard symbolic reasoning problems is one of the most difficult problems in modern deep learning and you can attack it head-on. Seek new ways for increasingly powerful AI systems to interact with the world through a very general interface of computer code. Recent project: Codex that powered the creation of GitHub Copilot.
  
  
• Language: Develop GPT advancements by exploring and forecasting future capabilities and resource needs. Seek a deep understanding of the scaling of our models across multiple orders of magnitude to optimize for best-case performance at the largest scale. Value impact over novelty – Team has found outstanding results from solid engineering with good design, implementation, and benchmarking.
  
  
• Mathgen: Help models learn to solve problems in informal natural text and prove theorems in formal languages like Lean. Large language models are known to make false claims that sound plausible, while mathematics requires the utmost rigor so training models that can reason robustly is a critical step on the path to AGI. Recent projects: Training Verifiers and Solving Olympiad Problems.

• Policy Research: Measure the risks, benefits, and overall impact of our technology on the world with an eye towards informing our policies and those of other institutions. Develop novel ways of characterizing model properties, work with internal and external partners to measure our economic impact, and build novel mitigations that help us safely deploy models in an iterative fashion. Conduct far-sighted research on ideal governance and regulation of powerful AI systems.

• Scaling: Build the model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery. Scaling owns the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.
  
  
• Science of Deep Learning: Explore and understand the dynamics of training large models to guide both the training of current models and the trajectory of the next ones.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the team

OpenAI is one of the leaders in AI research and deployment, and we're working to build safe Artificial General Intelligence (AGI). We believe AGI has the potential to help people solve immense global challenges such as climate change, affordable healthcare, and personalized education. We want the economic upside of AGI to be widely shared.

About OpenAI products

We're building the most advanced AI models and platforms, making it easy for developers and customers to benefit from AI via the OpenAI API. You can explore the magic of our products for free through the API, DALL-E, and ChatGPT.

As our technologies gained more capabilities, we introduced Codex into our API. This new model translates natural language into code. Based on this, we partnered with GitHub to create Copilot, your AI pair programmer.

We're working to bring other research efforts into the API, such as DALL-E 2, which generates images from text, and CLIP, a state-of-the-art image classification AI.

About the role

Our Go-to-Market team is responsible for empowering developers and enterprises to build scalable, enterprise-ready production applications with the OpenAI API. We guide and support customers to attain maximum benefits from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage seed ideas to established global enterprises.

As part of the day-to-day, you will research, explore, and build cutting-edge solutions, impacting a wide range of industries and teams. This role reports to our Head of Support Engineering and Community.

This role is based in our San Francisco HQ. We offer relocation support to new employees.

In addition, you'll:

• Serve as the customer’s advocate to our business
• Own cross-functional strategic projects and programs that automate and streamline support tasks
• Contribute to our API documentation knowledge base
• Develop technical competency and expertise to “grow” internally

We’re looking for someone with experience:

• 2+ years of software engineering and application development
• Building on top of our API or supporting developers who already doing so
• Working with DevOps systems and protocols
• Solving hard technical challenges using a mixture of tools and programming languages
• Working in a fast-paced environment
• Being curious and always wanting to grow

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary for this role is $180,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy 

About the Team

We focus on bringing OpenAI's technology to the world, through both our recently launched ChatGPT product and our API.

About the Role

We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you’ll work on products and APIs that are used by millions of enthusiastic users for a wide variety of use cases. Our API users include everyone from product managers and creatives to engineers and machine learning practitioners.  Our ChatGPT users include everyone from all walks of life and all ages from across the world.

 In this role, you will:

• Own the development of new customer-facing features and product experiences end-to-end
• Talk to customers to understand their problems and design solutions to address them
• Collaborate with a cross-functional team of engineers, researchers, designers, and operations folks
• Build and maintain applications and libraries for future use
• Optimize applications for speed and scale

Your background looks something like:

• 4+ years of relevant engineering experience at tech and product-driven companies
• Proficiency with JavaScript, React, and other web technologies
• Proficiency with some backend language (we use Python)
• Some experience with relational databases like Postgres/MySQL
• Interest in AI/ML (direct experience not required)
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

The Applied AI team safely brings OpenAI's advanced technology to the world. We released the GPT-3 API, Codex (which powers GitHub Copilot), DALL-E, and most recently ChatGPT. More is coming very soon.

We empower developers with APIs offering state-of-the-art AI capabilities, which power product features that were never before possible. We also build AI-driven consumer applications.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

At OpenAI, we are pushing the boundaries of the capabilities of artificial intelligence.  Our success depends on the ability to quickly iterate on products while also ensuring that they are performant and reliable. We need problem-solving engineers with deep technical knowledge in software development processes, reliability, and performance. 

In this role, you will:

• Design and build the development and production platforms that power all of OpenAI's products
• Support your fellow engineers with best practices on deployment, distributed systems, security, and infrastructure
• Identify potential problems in large complex distributed systems before they occur in production
• Pick the solution that best fits a variety of technical and business constraints. That may be writing a new system from scratch, modifying an existing system, or deploying something off the shelf.
• Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.

You might thrive in this role if you:

• Likely have 3+ years of professional experience in software engineering or systems reliability
• Have helped a team mature to more efficient and reliable systems and fewer incidents 
• Have rich experience in cloud networking and security
• Enjoy deep problem solving that spans many different technologies and systems
• Have great communication skills and empathy for other engineers
• Always check the file descriptor limit

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About the Team

The Applied AI team safely brings OpenAI's advanced technology to the world. We released the GPT-3 API, Codex (which powers GitHub Copilot), and DALL-E. There's a lot more on the immediate horizon.
 
We empower developers with APIs offering state-of-the-art AI capabilities, which power product features that were never before possible. We also build AI-driven consumer applications.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

In this role, you will:

• Architect, build, and deploy the back-end systems and services that power our API products as well as our consumer products
• Collaborate closely with product managers, researchers, and the rest of our engineering team to create new products around emerging research capabilities and unsolved customer needs
• Iterate rapidly to improve user and developer experience while advancing scalability, performance, observability, and security

You might thrive in this role if you:

• Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale
• Care deeply about the end user experience and take pride in building products to solve customer needs
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do
• Have been a startup founder or an early-stage engineer

Our tech stack

Our APIs are powered by Python, Flask, and OpenAPI. Our infrastructure is built on Kubernetes, Terraform, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

We are looking for an experienced iOS engineer to join as an early member of the OpenAI mobile team. In this role, you will build the first set of mobile experiences that use our latest and most powerful models. You will work closely with our product, design, and research teams to design, iterate, and safely bring our models to the world through mobile-first experiences. You will also lay the technical foundation for future mobile development at OpenAI.

In this role, you will:

• Design, build, and maintain the first set of iOS products built internally on top of OpenAI models
• Partner closely with our product design team to prototype and iterate on new experiences
• Plan and deploy mobile platform infrastructure necessary to build, test, and deploy these products
• Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
• Work with Product Managers and leadership to ensure projects are on track, your team is utilized effectively, and core engineering needs are continuously addressed

You might thrive in this role if you:

• Have experience building production software systems at scale, including building production iOS apps at scale.
• Are comfortable building complex applications and systems from the ground up, with limited development infrastructure available to you.
• Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others
• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary
• Experience with other Apple platforms (such as macOS or watchOS) and/or Android is a plus, but not required.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Benefits and Perks

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

About the Team

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to consumers.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

The ChatGPT team is multi-disciplinary, spanning research as well as product development. 

You’ll likely spend time on some of these areas:

• Accelerate our research team by building core infrastructure, tooling, and data systems to enable rapid experimentation and learning
• Scale and strengthen our production infrastructure to support orders of magnitude of reliable growth for ChatGPT
• Build new product features to make ChatGPT useful, delightful, and broadly beneficial

Whatever your focus, you’ll iterate rapidly with an integrated, cross-functional team advancing the state of the art of AI modeling, deployment, and safety.

You might thrive in this role if you:

• Have meaningful experience with building (and rebuilding) production systems to deliver new capabilities and to handle increasing scale
• Care deeply about the end user experience and take pride in building products to solve customer needs
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
• Own problems end-to-end, and be willing to pick up whatever knowledge you're missing to get the job done
• Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do
• Have been a startup founder or an early-stage engineer

Our tech stack

We use Python across our production systems as well as our research infrastructure. We make significant use of Kubernetes, Terraform, Postgres, and Cosmos DB. We primarily use TypeScript and React for building web interfaces. 

While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

OpenAI’s Hardware Health team oversees all hardware health related aspects of our custom-built hyperscale supercomputers. The team is responsible for maximizing the available supercomputing capacity for research and ensuring that our researchers are minimally impacted by hardware faults.

The hardware health team is being incubated inside OpenAI’s Scaling team, which operates at the far edge of all available innovations in AI — doing the engineering and research required to train large-scale AI models of unprecedented capability.

About the Role

As a Tech Lead in Hardware Health, you will serve as the main point of contact for the team and work closely with the Scaling team to develop strategy and deliver on goals. You will oversee the maintenance of a sophisticated and comprehensive suite of hardware health tests, lead projects to root-cause newly-discovered issues, and ensure that the research team is minimally impacted by hardware faults.  As the team grows, we would ideally like for this person to become the Engineering Manager.

The team moves at a fast pace, and a successful Tech Lead will be supportive of team members while providing a strong sense of direction and focus.

An ideal candidate would have:

• Prior experience as a Tech Lead or similar leadership role
• Proven ability to lead and manage projects from start to finish
• Technical expertise with Python, shell scripting, SQL, PromQL, and Pandas
• Experience developing reproducible analyses, dashboards, and visualizations
• A high level of detail orientation and a good intuition for when results are “too good/bad to be true”
• A strong sense of ownership causing them to very carefully monitor outcome of deployed updates

Bonus Points if you have expertise and interest in low-level details of hardware components, protocols, and associated Linux tooling (PCIe, networking, power management, kernel perf tuning)

About the Team

OpenAI’s Scaling team operates at the far edge of all available innovations in AI — doing the engineering and research required to harness custom-built hyperscale supercomputers, the latest algorithmic improvements, and massive datasets to train AI models of unprecedented capability.

We build our own model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery.

The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform.

About the Role

As a Researcher or Software Engineer in Systems and Scaling, you will work at the intersection of hardware and software, co-designing systems and ML code that aim to deliver near-optimal performance for training large-scale AI models. Our team moves at a fast pace and provides individuals with a high degree of autonomy and a strong ability to affect change.

An ideal candidate would have:

• Experience and passion for building systems from the ground up.
• Experience in tackling novel systems problems.
• A Deep understanding of performance and comfort with theoretical performance modeling.
• Breadth across a few areas of systems research (operating systems, networking, distributed systems, architecture, programming languages) and deep expertise in one.
• Excellent communication skills. You can explain your work's intricacies to a non-technical audience if need be.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

About the Role

As a Software Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

The Research Acceleration team builds high-quality research tools and frameworks to increase research productivity across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. For example, we recently collaborated with our Codegen research team on the Codex model, which can generate code in Python and many other languages.

Do you love research tools, training frameworks, and collaborating on cutting-edge AI models? If so, this role is for you! We are looking for people who are self-directed and enjoy determining the most meaningful problem to solve in order to accelerate our research.

We're looking for a track record of:

• 3+ years of relevant software engineering experience
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Some demonstrated interest in ML
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

The Applied team safely brings OpenAI's technology to the world. We released the GPT-3 API and Codex, which powers GitHub's Copilot. There's a lot more on the immediate horizon.

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Applied Engineering team wraps a massive fleet of GPUs in scalable, robust, infrastructure powered by Kubernetes, Go, Python, Terraform, Redis, Kafka, Postgres, and Snowflake. Our APIs are powered by Python Flask and OpenAPI with a React frontend.

About the Role

We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production environment.

In this role, you will:

• Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.
• Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models.
• Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.
• Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.

You might thrive in this role if you:

• Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
• Have at least 3 years of professional software engineering experience.
• Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, etc.
• Have experience architecting, observing, and debugging production distributed systems.
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
• Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.
• Are self-directed and enjoy figuring out the most important problem to work on.
• Have a good intuition for when off-the-shelf solutions will work, and build tools to accelerate your own workflow quickly if they won’t.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

We’re forming a new team to work with our partners on accelerator optimization and co-design, and are looking for a founding tech lead and engineering manager.

This team will be responsible for identifying promising new AI accelerators, building frameworks and compilers, and porting our models to these new accelerators.

While primarily a software team, this team will be multidisciplinary and include experts in hardware design as well as data center facility design.

If you’re excited to work at the intersection of cutting edge AI and emerging hardware designs this role is for you!

In this role, you will:

• Build cross-platform AI training frameworks
• Work with leadership to select hardware partners and define our long-term hardware strategy
• Lead evaluations of their accelerators and influences the roadmap of hardware partners
• Hire a team of world-class engineers
• Ensure your team of engineers are performing at their peak, are growing, and advancing in their careers
• Provide technical direction and mentorship

You might thrive in this role if you:

• Have at least 10 years of industry experience and at least 3 years of experience as a software engineering manager or director
• Have a strong bias toward action, and won’t take no for an answer
• Are deeply thoughtful about culture, DEI, and team structure with a track record of improving these areas
• Experience closing competitive candidates for their team and the ability to craft and convey compelling visions of the future
• A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others
• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $370,000 – $600,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the team

The Human Data Team is responsible for building a system to manage our AI trainers who teach our models how to behave and solve complex problems. We use data from AI trainers to power alignment with the instruction following models and to train AI to leverage web browsing when answering questions.

This is a brand new team, and we seek to hire the founding members in the roles of Technical Program Manager and Full-Stack Engineers.

About the role

As a Full-Stack Engineer, you will closely collaborate with our world-class research teams to build and deploy powerful AI systems and products that can perform previously impossible tasks and achieve unprecedented levels of performance.

In this role, you will design and develop the tools & dashboards required for a variety of cutting-edge AI research and consumer projects and build flexible infrastructure and intuitive UI experiences.

Ideally you:

• Have strong web development skills, building both clean UIs and reusable middleware and component systems.
• Have proficiency in TypeScript and React for front-end development
• Have experience building stable/scalable Web APIs and services
• Have Python expertise (including async) and using either Flask or FastAPI.
• Have experience driving large-scale projects in a fast-paced and highly collaborative environment
• Like building general frameworks and infrastructure that could be used for many different projects
• Enjoy fast-paced, collaborative, and cutting-edge research environments
• Are interested in and thoughtful about the impacts of AI technology (see our Charter for examples of our goals) and care deeply about the impact of ML models on people's lives; how to maximize the benefits and mitigate the possible harms.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

The Applied AI team safely brings OpenAI's advanced technology to the world. We released the GPT-3 API, Codex (which powers GitHub Copilot), and DALL-E. More is coming very soon.

We empower developers with APIs offering state-of-the-art AI capabilities, which power product features that were never before possible. We also build AI-driven consumer applications.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking a software engineer to help us build out our trust and safety capabilities.

In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

In this role, you will:

• Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
• Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to combat abuse and toxic content.
• Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.

You might thrive in this role if you:

• Have at least 3 years of professional software engineering experience.
• Have experience setting up and maintaining production backend services and data pipelines.
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
• Are self-directed and enjoy figuring out the best way to solve a particular problem
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
• Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse.
• Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do.

Our tech stack

Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy

About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

About the Role

As a Software Engineer, you will help build AI systems that can perform previously impossible tasks or achieve outstanding levels of performance. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and building the science behind the algorithms employed. In all the projects this role pursues, the ultimate goal is to push the field forward.

The Research Acceleration team builds high-quality research tools and frameworks to increase research productivity across OpenAI, with the goal of accelerating progress towards AGI. For example, we develop Triton, a language and compiler for writing custom GPU kernels. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA. 

We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. For example, we recently collaborated with our Codegen research team on the Codex model, which can generate code in Python and many other languages.

Do you love research tools, compilers, and collaborating on cutting-edge AI models? If so, this role is for you! We are looking for people who are self-directed and enjoy determining the most meaningful problem to solve in order to accelerate our research.

We're looking for a track record of:

• 3+ years of relevant engineering experience
• Owning problems end-to-end, with a willingness to pick up whatever knowledge is missing to get the job done
• Bonus: contributions to an AI framework such as PyTorch or Tensorflow, or compilers such as GCC, LLVM, or MLIR

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation, Benefits and Perks

The annual salary range for this role is $200,000 – $370,000. Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI US Applicant Privacy Policy