Hive Careers

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software powered by proprietary AI models and datasets, unlocking breakthrough applications for critical business needs with deep learning and generative AI. Collectively, Hive's technology is transforming approaches to platform integrity / content moderation (including AI-generated content detection), brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Sports, Media, and Marketing Manager

You will play a critical role in driving the continued growth of our Sports, Media, and Marketing solution area, which provides a portfolio of AI-powered solutions to publishers, teams and leagues, brands, and agencies. The Sports, Media, and Marketing Manager will have responsibility for product, sales, and strategy across the solution area, and work closely with Hive’s senior leadership team. This is a cross-functional role that will involve day-to-day engagement across multiple internal teams as well as heavy interaction as the face of Hive to many of our most significant clients, partners, and prospects. The Sports, Media, and Marketing Manager is willing to do anything and everything needed to move the business forward.

Responsibilities

• Lead overall revenue and customer growth in the Sports, Media, and Marketing solution area
• Oversee sales and business development for the Sports, Media, and Marketing solution area, including day-to-day management of our internal sales team and external go-to-market partners as well as ownership of responses to large proposals
• Work closely with Marketing and Design teams to develop effective product marketing materials and sales collateral (in coordination with Marketing and Design teams)
• Build trusting relationships with priority clients and strategic partners, and lead sales calls and product demonstrations with key prospects in coordination with Sales team
• Serve as the key business partner for relevant Product and Engineering teams, providing guidance to drive product design and development for Hive’s Sports, Media, and Marketing products
• Oversee customer success for Sports, Media, and Marketing clients, including effective scoping and delivery of successful proofs of concepts / evaluations as well as ongoing client engagement with our products
• Work closely with Hive’s senior leadership team to build and maintain alignment on business priorities
• Contribute to external publications, whitepapers, newsletters, and blog posts
• Attend industry functions and conferences to represent Hive and build relationships with prospective partners and clients
• Provide ad hoc leadership on other special projects across Hive as required

• You have a Bachelor's degree from a 4-year university
• Preferred: You have an MBA from a top graduate program
• Preferred: You have 4 years of total work experience including at least 2-3 years of experience at a top management consulting firm or fast-growing software-based startup
• You have passion for and, preferably, relevant work experience within sports, television, streaming, advertising, AI and machine learning, enterprise sales, product management, and software-as-a-service businesses
• You are highly analytical, and demonstrate excellent written and verbal communication skills
• You have demonstrated success in a competitive environment
• You are highly self-motivated and ambitious in achieving goals
• You are a capable manager and a strong team player, but can work and execute independently
• You have a proven ability to work long workweeks when needed
• You are driven. No one needs to push you to excel; that’s just who you are
• You are hungry to learn and you actively look for opportunities to contribute
• You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

Who We Are

We are a group of ambitious individuals who are passionate about creating a transformative AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in the world. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $130,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
• Utilize OWASP top 10 techniques to secure code from vulnerabilities
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
• You have 1-2 years industry machine learning experience
• You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
• You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
• You know the ins and outs of Python, especially as it applies to the above ML frameworks
• You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
• You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
• You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
• You have great communication skills and ability to work with others
• You are a strong team player, with a do-whatever-it-takes attitude

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Senior Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Write and maintain scalable, performant and secure code that can be shared across platforms
• Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
• Improve engineering standards, tooling, processes and security
• Develop novel, accurate, and performant ML algorithms for use at scale
• Conduct metric-driven research experiments to improve model performance
• Provide mentorship to and help onboard junior ML engineers
• Collaborate cross-functionally with other teams
• Utilize OWASP top 10 techniques to secure code from vulnerabilities
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have a Bachelor's Degree in computer science or a related field
• You have a minimum of 5 years of building production scale ML models
• You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
• You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
• You have experience writing code and training across distributed systems
• You have an ability to understand and make well-reasoned tradeoffs in designing features
• You can lead end to end development of new products
• You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
• You strongly believe in high code quality, automated testing, and other engineering best practices
• You have attention to detail and a passion for correctness
• You are comfortable with ambiguity and scoping solutions with your teammates
• You have strong interpersonal and communication skills with a bias towards action

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Staff Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Write and maintain scalable, performant code that can be shared across platforms
• Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
• Improve engineering standards, tooling, and processes
• Develop novel, accurate, and performant ML algorithms for use at scale
• Conduct metric-driven research experiments to improve model performance
• Provide mentorship to and help onboard ML engineers
• Lead cross-functional collaboration with other teams
• Contribute to defining strategic direction, planning the roadmap
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have a Bachelor's Degree in computer science or a related field
• You have 8+ years of experience building web applications
• You have successfully implemented highly-available distributed systems/microservices
• You have delivered scalable backend APIs
• You have strong interpersonal and communication skills with a bias towards action
• You have experience writing code and training across distributed systems
• You have the ability to understand and make well-reasoned tradeoffs in designing features
• You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
• You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
• You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
• You can lead end to end development of new products

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Staff Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Write and maintain scalable, performant code that can be shared across platforms
• Contribute meaningfully to the product and core backend systems by suggesting and executing improvements
• Improve engineering standards, tooling, and processes
• Develop novel, accurate, and performant ML algorithms for use at scale
• Conduct metric-driven research experiments to improve model performance
• Provide mentorship to and help onboard ML engineers
• Lead cross-functional collaboration with other teams
• Contribute to defining strategic direction, planning the roadmap
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have a Bachelor's Degree in computer science or a related field
• You have 8+ years of experience building web applications
• You have successfully implemented highly-available distributed systems/microservices
• You have delivered scalable backend APIs
• You have strong interpersonal and communication skills with a bias towards action
• You have experience writing code and training across distributed systems
• You have the ability to understand and make well-reasoned tradeoffs in designing features
• You are an expert in machine learning frameworks, such as PyTorch or Tensorflow
• You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
• You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing
• You can lead end to end development of new products

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.

About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.

Responsibilities

• Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
• Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
• Participate in products technical design and architecture
• Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
• Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
• Implement and manage security protocols such as training, code review, and best practices
• Own and manage the risk and security of your business function in coordination with the Security Team
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• Undergraduate or graduate degree in computer science or similar technical field
• 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
• Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
• 2+ years experience managing machine learning teams
• You have an ability to understand and make well-reasoned tradeoffs in designing features
• Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
• Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
• Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

About Hive 

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Senior Machine Learning Engineer

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Write and maintain scalable, performant and secure code that can be shared across platforms
• Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
• Improve engineering standards, tooling, processes and security
• Develop novel, accurate, and performant ML algorithms for use at scale
• Conduct metric-driven research experiments to improve model performance
• Provide mentorship to and help onboard junior ML engineers
• Collaborate cross-functionally with other teams
• Utilize OWASP top 10 techniques to secure code from vulnerabilities
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have a Bachelor's Degree in computer science or a related field
• You have a minimum of 5 years of building production scale ML models
• You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
• You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
• You have experience writing code and training across distributed systems
• You have an ability to understand and make well-reasoned tradeoffs in designing features
• You can lead end to end development of new products
• You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
• You strongly believe in high code quality, automated testing, and other engineering best practices
• You have attention to detail and a passion for correctness
• You are comfortable with ambiguity and scoping solutions with your teammates
• You have strong interpersonal and communication skills with a bias towards action

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $160,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.

About Hive

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world’s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

Responsibilities

• Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
• Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
• Utilize OWASP top 10 techniques to secure code from vulnerabilities
• Maintain awareness of industry best practices for data maintenance handling as it relates to your role
• Adhere to policies, guidelines and procedures pertaining to the protection of information assets
• Report actual or suspected security and/or policy violations/breaches to an appropriate authority

• You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
• You have 1-2 years industry machine learning experience
• You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
• You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
• You know the ins and outs of Python, especially as it applies to the above ML frameworks
• You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
• You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
• You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
• You have great communication skills and ability to work with others
• You are a strong team player, with a do-whatever-it-takes attitude

Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.