Paperspace Careers

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 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.

About Paperspace

Paperspace is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines.

Paperspace is backed by leading investors including Battery Ventures, Intel Capital, SineWave Ventures, Sorenson Ventures, Y Combinator and Initialized Capital.

Paperspace Advanced Technologies Group

Paperspace ATG is the internal R&D arm of Paperspace and is tasked with exploring advanced topics in machine learning/deep learning, data engineering, UI/UX for developing intelligent applications, and AI education/accessibility.

The Research Fellowship is a 10-15 week paid program that is designed to bring in Graduate and post-Graduate students from a wide variety of disciplines who want to apply their passion for research in a practical setting.

The ATG accepts fellows on a rolling basis. Research fellows are paired with a Paperspace engineer to advance and document their research project.

Research Areas

The ATG is currently engaged in the following active areas of research. Not all projects fall directly under any single area but generally, these areas encompass the types of projects that we would like to foster and support.

• Deep Tech - This research track is designed to push the limit of current machine learning algorithms, applications, or foundational knowledge. Past fellows have taken on GPU kernel development, adversarial auto-encoders, auto-ml parameter space exploration strategies, and other advanced topics in the deep learning field.
• Tooling / Interfaces - This research track is designed to push the boundaries of what is possible with ML interfaces (GUI, CLI, and others). Topics such as experiment tracking, visualization techniques, new distributed training architectures, and novel ways of modeling complex data and interactions fall under the scope of this research area. Past fellows have worked on making pre-trained deep learning models more accessible to a broader audience through new abstractions and interfaces.  Model optimization for various inference architectures and device constraints is also an area of interest.
• Education / Accessibility - This research track is designed to expand the accessibility of existing ML and deep learning techniques through education and advocacy. As more and more advanced topics come from academia, there exists a growing divide between experts and novices. Furthermore, what are the best ways to open up deep learning to new audiences and users, not just domain experts? Questions of fairness, bias, explanation, openness are at the center of this conversation.

If you have any additional questions, you can reach out to atg@paperspace.com. 

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.

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.