Leading provider of cloud-based AI solutions for understanding, searching, and generating content, serving billions of API requests monthly.

Hive, a leading provider of cloud-based AI solutions, is seeking a Senior Machine Learning Engineer to join their innovative team in San Francisco. With over $120M in funding from prestigious investors like General Catalyst and Visa Ventures, Hive serves billions of API requests monthly and is transforming content moderation, brand protection, and ad targeting industries.

The role demands a seasoned ML engineer with 5+ years of experience in building production-scale models. You'll be working with terabyte-scale datasets, implementing state-of-the-art neural networks, and deploying them at scale. The position offers an opportunity to work on cutting-edge AI technology while having a direct impact on the company's growth.

As a Senior ML Engineer, you'll be responsible for the entire ML pipeline - from design to deployment, including data gathering, model training, and continuous improvement of both accuracy and performance. The role requires expertise in Python, modern ML frameworks, and distributed systems, along with strong knowledge in either computer vision or NLP.

The compensation package is competitive, ranging from $160,000 to $250,000 in base salary, with additional stock options available. You'll be joining a team of 250+ employees across San Francisco, Seattle, and Delhi offices, working on revolutionary AI solutions used by hundreds of the world's largest organizations.

This is an ideal opportunity for someone who values ownership, innovation, and wants to be at the forefront of AI technology development. The role offers a steep learning curve and the chance to contribute meaningfully to one of San Francisco's fastest-growing AI startups.

Senior Machine Learning Engineer position at Hive, developing and deploying production-scale AI models with competitive compensation of $160-250K plus equity.

Senior Machine Learning Engineer

Leading provider of cloud-based AI solutions for content understanding, search, and generation, trusted by hundreds of major organizations.

Hive, a leading AI solutions provider with over $120M in funding, is seeking a Senior Frontend Engineer to join their innovative team. The role is crucial for developing Hive Data and Hive Enterprise products, working with cutting-edge web technologies like React, Redux, and ES6. As part of a small, fast-moving team, you'll have significant autonomy and responsibility in implementing user interfaces that define core platforms.

The position offers a competitive salary range of $160,000 - $250,000, with additional stock options available. Based in San Francisco, you'll be joining a company of over 250 employees globally, with offices in Seattle and Delhi as well. Hive's technology is trusted by hundreds of major organizations, serving billions of API requests monthly for content moderation, brand protection, and context-based ad targeting.

The ideal candidate will have 6+ years of experience and strong expertise in frontend technologies, particularly JavaScript, React, and related frameworks. You'll work closely with designers and product owners, making key software design decisions and implementing innovative interfaces. The role requires both technical excellence and strong communication skills, as you'll be actively participating in product decisions and improving team efficiency.

Working at Hive means joining an ambitious team passionate about creating a revolutionary AI company. You'll experience a steep learning curve and have direct impact on the company's development. The collaborative environment and cutting-edge technology stack make this an excellent opportunity for a senior frontend engineer looking to make their mark in the AI industry.

Senior Frontend Engineer role at Hive, building AI-powered enterprise products with React and modern web technologies. $160-250K salary + equity in San Francisco.

Senior Software Engineer - Frontend

Leading provider of cloud-based AI solutions for content understanding, search, and generation, trusted by hundreds of large organizations.

Hive, a leading provider of cloud-based AI solutions, is seeking a Staff Machine Learning Engineer to join their innovative team. With over $120M in funding from prestigious investors and a global presence across San Francisco, Seattle, and Delhi, Hive has established itself as a trusted partner for hundreds of major organizations in content moderation, brand protection, and AI-powered solutions.

The role demands a seasoned professional with 8+ years of experience who can excel in developing and deploying machine learning models at scale. You'll be working with terabyte-scale datasets and state-of-the-art neural networks, while taking ownership of projects from conception to production. The position offers a competitive salary range of $200,000 - $300,000, plus equity opportunities and comprehensive benefits.

As a Staff Machine Learning Engineer, you'll be responsible for the entire ML lifecycle - from designing and coding neural networks to deployment and continuous improvement. You'll lead cross-functional teams, mentor other engineers, and contribute to the strategic direction of the company. The ideal candidate combines technical expertise in frameworks like PyTorch or TensorFlow with strong leadership and communication skills.

The role offers an opportunity to work on cutting-edge AI technology while making a direct impact on one of the fastest-growing AI startups. You'll be part of a team that values innovation, ownership, and rapid development. The position includes comprehensive benefits such as health, dental, and vision insurance, gym membership, paid vacation, and potential equity grants.

Working at Hive means joining a team of ambitious individuals passionate about creating a revolutionary AI company. The steep learning curve and direct impact on company development make this an exciting opportunity for someone looking to shape the future of AI technology. The company's culture emphasizes continuous learning, innovation, and maintaining high engineering standards while moving quickly to deliver solutions at scale.

Staff Machine Learning Engineer position at Hive, focusing on developing and deploying AI models at scale with competitive compensation and benefits.

Staff Machine Learning Engineer

Hive is at the forefront of AI innovation, providing cloud-based solutions for content understanding, search, and generation. As a Frontend Engineer, you'll be integral to the Hive Data and Hive Enterprise products, working with cutting-edge web technologies like React, Redux, Webpack, and ES6.

The role offers an exciting opportunity to join a fast-growing AI startup that has raised over $120M from prominent investors including General Catalyst and Visa Ventures. With offices in San Francisco, Seattle, and Delhi, and a team of over 250 employees globally, Hive is transforming industries through AI-powered solutions in content moderation, brand protection, and ad targeting.

As a Frontend Engineer, you'll collaborate closely with designers, product owners, and fellow engineers to create innovative user interfaces. The position offers significant autonomy and responsibility in a bottom-up product process. You'll be implementing secure custom interfaces, making crucial software design decisions, and contributing to product feature development.

The ideal candidate should have strong technical skills, particularly in JavaScript and React, combined with excellent UX sensibilities. You'll be working in a collaborative environment where continuous learning and knowledge sharing are valued. The role offers competitive compensation, including potential stock options, and the opportunity to make a direct impact on the company's growth.

Join a team of ambitious individuals passionate about creating a revolutionary AI company. You'll experience a steep learning curve and the chance to contribute meaningfully to one of San Francisco's fastest-growing AI startups. The work environment encourages innovation, collaboration, and professional growth, making it an ideal place for engineers who thrive in fast-paced, dynamic settings.

Frontend Software Engineer position at Hive, building AI-powered enterprise solutions using React and modern web technologies.

Software Engineer - Frontend

Hive is a technology company based in San Francisco focusing on product and engineering solutions.

Hive is seeking a Machine Learning Engineer to join their Product & Engineering team in San Francisco. This is a full-time position where the candidate will work on machine learning applications and solutions. The role appears to be open to candidates who may require visa sponsorship, as indicated by the application form's questions about employment sponsorship needs. The position seems to be focused on implementing and developing machine learning solutions as part of Hive's engineering efforts. The role requires candidates to submit their GPA, suggesting it may be open to recent graduates or early-career professionals with strong academic backgrounds. The company appears to be actively expanding their machine learning capabilities and looking for talented engineers to contribute to their technical initiatives.

Machine Learning Engineer position at Hive in San Francisco, focusing on developing and implementing ML solutions with possibility for visa sponsorship.

Machine Learning Engineer

Leading provider of cloud-based AI solutions for content understanding, search, and generation, trusted by hundreds of largest organizations.

Hive, a leading provider of cloud-based AI solutions, is seeking a Systems Engineer/DevOps professional to join their growing team. With over $120M in funding from prominent investors like General Catalyst and Visa Ventures, Hive has established itself as a trusted partner for hundreds of major organizations, serving billions of API requests monthly.

The role presents a unique opportunity to work with both on-premises data centers and hybrid AWS infrastructure, focusing heavily on GPU resources to support machine learning operations. The ideal candidate will join a team responsible for maintaining the reliability of Hive's SaaS offerings and supporting their innovative AI solutions in content moderation, brand protection, and ad targeting.

As a Systems Engineer/DevOps professional, you'll work with cutting-edge technologies including Kubernetes, Docker, and various cloud services. The position offers hands-on experience with an extensive technology stack, from configuration management tools like Chef/Ansible to advanced networking and storage solutions. You'll be responsible for automation, infrastructure management, and ensuring robust security practices.

The role offers competitive compensation ranging from $120,000 to $180,000, with additional stock options available. Based in San Francisco, you'll be part of a 250+ employee global organization with offices in Seattle and Delhi. This position provides an excellent opportunity for growth in a fast-paced AI startup environment where your contributions will have direct impact on the company's success.

Working at Hive means joining an ambitious team passionate about creating a revolutionary AI company. The steep learning curve and hands-on experience with advanced technologies make this an ideal position for someone looking to grow their career in DevOps while working with cutting-edge AI infrastructure.

DevOps Engineer role at Hive AI, managing hybrid infrastructure and automation for AI solutions, offering $120-180K base salary in San Francisco.

Systems Engineer / DevOps

Leading provider of cloud-based AI solutions for content understanding, search, and generation, serving billions of API requests monthly.

Hive, a pioneering force in cloud-based AI solutions, is seeking a Director of Engineering to lead and shape their engineering organization. With over $120M in funding from prestigious investors and a global presence across San Francisco, Seattle, and Delhi, Hive has established itself as a trusted partner for hundreds of innovative organizations, serving billions of API requests monthly.

The role presents a unique opportunity to drive engineering excellence at scale, overseeing critical systems and shaping the technical direction of a rapidly growing AI company. As Director of Engineering, you'll be at the intersection of technical leadership and people management, responsible for both tactical execution and strategic planning.

The ideal candidate brings a robust combination of hands-on engineering experience (4+ years) and people management expertise (2+ years), with particular emphasis on managing other managers. You'll work with terabyte-scale datasets and cutting-edge technologies across the stack, including Node, C++, Scala/Spark, SQL, and Cassandra.

Key aspects of the role include:
- Leading cross-functional collaboration with product, ML, QA, and sales teams
- Developing and executing engineering vision and roadmaps
- Building and nurturing high-performing engineering teams
- Establishing security protocols and best practices
- Driving technical decision-making at the organizational level

The position offers competitive compensation ($200,000 - $300,000 base salary) with additional stock options, reflecting the strategic importance of this role. You'll be joining a team of ambitious individuals passionate about creating a revolutionary AI company, with the opportunity to directly impact the company's trajectory in the fast-growing AI industry.

This role is perfect for a technical leader who combines strong engineering fundamentals with exceptional people management skills, and who thrives in a fast-paced startup environment where decisions have direct, visible impact on the company's success.

Lead engineering teams and drive technical vision at Hive, a leading AI solutions provider, managing both engineers and engineering managers.

Director of Engineering

Hive, a leading AI solutions provider with over $120M in funding, is seeking a Security Engineer to join their growing team. This role offers an opportunity to work at the intersection of AI and cybersecurity, protecting sensitive information and implementing robust security measures for a company that serves billions of API requests monthly.

The position involves working with cutting-edge AI technology while building and maintaining enterprise-grade security systems. As a Security Engineer, you'll be responsible for designing security architecture, implementing protection measures, and collaborating with various engineering teams to enhance the company's security posture. The role offers exposure to modern security challenges in AI infrastructure and data protection.

Hive offers a competitive compensation package ranging from $100,000 to $180,000, complemented by stock options and comprehensive benefits including health, dental, and vision insurance. The company maintains offices in San Francisco, Seattle, and Delhi, with over 250 employees globally. This position is based in Seattle, where you'll work with ambitious professionals passionate about creating a revolutionary AI company.

The ideal candidate will have a computer science background, hands-on experience with security systems, and strong communication skills. You'll have the opportunity to make a direct impact on the company's development while working in a fast-paced startup environment. If you're passionate about AI and security, and want to contribute to one of the fastest-growing AI startups, this role offers an excellent opportunity for career growth and technical challenges.

Security Engineer position at Hive, implementing and maintaining security measures for AI infrastructure, offering $100-180K salary plus equity in Seattle.

Security Engineer

Hive, a leading AI solutions provider with over $120M in funding, is seeking a Senior Site Reliability Engineer to join their DevOps and Systems team. The company operates its own data centers with a focus on distributed high-performance computing integrating GPUs, while maintaining a hybrid infrastructure with public clouds.

The role demands an individual who excels in an unstructured environment and is passionate about automation. The ideal candidate believes in the power of automation and takes pride in optimizing performance at scale across the entire stack. They will be responsible for managing and improving the reliability of Hive's enterprise SaaS offering, working with cutting-edge technologies including containerization, orchestration, and various cloud services.

The position offers a competitive base salary range of $160,000 - $250,000, along with equity options and comprehensive benefits. The team is based in Seattle, working alongside offices in San Francisco and Delhi. This is an excellent opportunity to contribute to one of the fastest-growing AI startups, working on revolutionary technology that serves billions of customer API requests monthly.

The role requires strong expertise in Linux systems, containerization technologies like Docker and Kubernetes, and various infrastructure components. The successful candidate will be part of a team that manages everything from network hardware to cloud services, ensuring the reliable operation of Hive's AI infrastructure that powers content moderation, brand protection, and sponsorship measurement solutions for hundreds of major organizations worldwide.

Senior Site Reliability Engineer position at Hive, managing and automating infrastructure for AI solutions, offering $160-250K salary plus equity in Seattle.

Senior Site Reliability Engineer

Hive, a leading provider of cloud-based AI solutions, is seeking a Senior Software Engineer to join their Backend team in San Francisco. With over $120M in funding from prestigious investors like General Catalyst and 8VC, Hive has established itself as a trusted partner for hundreds of major organizations, serving billions of API requests monthly.

The role offers an opportunity to work on cutting-edge AI technology that powers content moderation, brand protection, and targeted advertising solutions. As a Senior Backend Engineer, you'll be responsible for designing and implementing features across REST APIs, microservices, and distributed systems that form the backbone of Hive's AI infrastructure.

The ideal candidate brings 5+ years of experience building scalable web applications, with expertise in Node.js and PostgreSQL. You'll be working in a fast-paced environment where you can make direct impact on the company's growth and development. The position requires strong technical skills in distributed systems, API development, and security best practices, combined with a commitment to code quality and test-driven development.

Hive offers a competitive compensation package ranging from $160,000 to $250,000 in base salary, with additional stock options available. The company has a strong presence with offices in San Francisco, Seattle, and Delhi, employing over 250 people globally. This is an excellent opportunity for ambitious engineers who want to contribute to one of San Francisco's fastest-growing AI startups while working alongside passionate individuals dedicated to revolutionizing the AI industry.

The role provides significant learning opportunities and direct impact on product development. You'll be part of a team that values innovation, quality, and security, working on solutions that serve some of the world's largest organizations. If you're excited about building scalable AI solutions and want to be at the forefront of AI technology, this role at Hive offers the perfect combination of challenge, growth, and impact.

Senior Backend Engineer role at Hive, building scalable AI solutions and APIs using Node.js and PostgreSQL

Senior Software Engineer - Backend

Hive is seeking a Staff Software Engineer - Backend to join their innovative AI solutions team. As the leading provider of cloud-based AI solutions, Hive serves billions of API requests monthly and is trusted by hundreds of major organizations worldwide. The company has secured over $120M in funding from prestigious investors including General Catalyst and Visa Ventures.

The role demands an experienced engineer to design and implement features across various backend systems, including REST APIs, microservices, and distributed processing systems. You'll be working on cutting-edge AI technology that transforms content moderation, brand protection, and ad targeting. The position offers significant autonomy and the opportunity to tackle complex scaling challenges.

As a Staff Engineer, you'll be responsible for improving engineering standards, leading technical initiatives, and ensuring system security and performance. The role requires both technical expertise and leadership skills, as you'll be contributing to technical direction and architecting solutions for ambiguous problems.

The company offers a competitive compensation package ($200,000 - $300,000 base salary) with equity options, comprehensive benefits including health, dental, and vision insurance, and a gym membership. Working at Hive means joining a fast-growing AI startup where your work will have direct impact on the company's development.

With offices in San Francisco, Seattle, and Delhi, Hive provides a dynamic environment for ambitious individuals passionate about AI technology. The role offers a steep learning curve and the chance to contribute to revolutionary AI solutions. If you're excited about building scalable systems and shaping the future of AI technology, this position offers an excellent opportunity to make your mark in a rapidly growing field.

Staff Software Engineer position at Hive, building scalable backend systems and APIs for AI-powered content solutions.

Staff Software Engineer - Backend

Hive, a leading provider of cloud-based AI solutions, is seeking a Backend Software Engineer to join their growing team. With over $120M in funding from prestigious investors like General Catalyst and 8VC, Hive has established itself as a trusted partner for hundreds of major organizations, serving billions of API requests monthly.

The role offers an opportunity to work on cutting-edge AI technology, building and maintaining critical backend systems that power content moderation, brand protection, and sponsorship measurement solutions. As a Backend Engineer, you'll be responsible for designing and implementing scalable features across REST APIs, microservices, and data processing systems.

The ideal candidate should have a few years of experience in web application development, particularly with Node.js and PostgreSQL. You'll be working in a fast-paced environment where code quality, security, and performance are paramount. The position offers competitive compensation ($120,000-$180,000) plus stock options, and you'll be based in San Francisco, working alongside 250+ global employees.

This is an excellent opportunity for a mid-level engineer who wants to make a direct impact on a revolutionary AI company's growth. You'll face challenging technical problems at scale while contributing to products that are transforming how organizations handle content and data across industries.

Backend Software Engineer position at Hive, building scalable AI solutions and APIs in San Francisco, offering $120-180K plus equity.

Hive Engineering Jobs

Leading provider of cloud-based AI solutions for understanding, searching, and generating content, serving billions of API requests monthly.