Platform for creating, deploying, and running machine learning models, making AI accessible to every software developer.

Replicate is revolutionizing AI accessibility by building the premier platform for creating, deploying, and running machine learning models. As an Infrastructure Engineer on the Platform team, you'll be at the forefront of democratizing AI technology.

The role involves managing the complete lifecycle of ML models, from packaging to deployment, serving, scaling, and monitoring. You'll be working with a system that handles thousands of models and millions of daily predictions. The platform team is responsible for critical infrastructure that powers AI accessibility for developers worldwide.

Key Technical Aspects:
- Working with Python, Go, Node.js, Kubernetes, and Terraform
- Managing complex distributed systems and GPU resources
- Optimizing model inference and deployment processes
- Handling multi-regional traffic and failover capabilities
- Working with databases like Redis, Google BigQuery, and PostgreSQL

Company Culture:
- Engineering-led organization with a focus on technical excellence
- Strong emphasis on in-person collaboration at their Mission, San Francisco office
- Team composed of experienced professionals from companies like Docker, Dropbox, GitHub, Heroku, NVIDIA
- Open-source focused with a commitment to building in public
- Strong emphasis on API design and infrastructure reliability

The role offers an opportunity to:
- Shape the future of AI accessibility
- Work with cutting-edge ML/AI technologies
- Build scalable systems that impact thousands of developers
- Join a team of experienced engineers from top tech companies
- Contribute to making AI technology more accessible and safer

This position is perfect for someone who combines strong infrastructure engineering skills with a passion for democratizing AI technology. You'll be working in a fast-paced environment where your decisions directly impact the platform's success and the broader AI developer community.

Build and optimize ML platform infrastructure at Replicate, making AI accessible to developers worldwide.

Software Engineer - ML Platform

A platform making AI accessible to every software developer by providing tools for creating, deploying, and running machine learning models.

Replicate is revolutionizing the AI landscape by democratizing access to machine learning capabilities for all software developers. As a Staff Software Engineer on the Platform team, you'll be at the forefront of making generative AI accessible to everyone.

The role involves working with the Platform team that manages the complete lifecycle of ML models - from packaging and deployment to serving, scaling, and monitoring. You'll be building infrastructure that supports thousands of models and handles millions of daily predictions. This position offers a unique opportunity to create innovative solutions where your decisions have direct impact.

The ideal candidate brings extensive experience in platform engineering, with a strong background in building scalable systems and working with technologies like Python, Go, Node.js, Kubernetes, and various databases. You'll be responsible for designing and implementing systems that maximize GPU utilization, handle complex workload distribution, and optimize model inference performance.

Working from Replicate's office in San Francisco's Mission district (minimum 3 days per week), you'll collaborate with talented engineers to solve challenging problems in AI infrastructure. The role offers competitive compensation ($230K-$280K) and the opportunity to work on cutting-edge AI technology.

What makes this role exciting is the chance to work at the intersection of infrastructure and AI, building systems that enable developers worldwide to harness the power of machine learning. You'll be dealing with unique challenges in resource optimization, system reliability, and performance tuning, all while making AI more accessible to the broader developer community.

The position requires strong technical expertise combined with excellent communication skills, as you'll be working closely with various teams to understand needs and translate complex technical concepts into actionable solutions. While direct ML experience isn't required, familiarity with ML platforms and production AI systems would be valuable.

Staff Software Engineer position at Replicate, building and scaling ML platform infrastructure to democratize AI access for developers worldwide.

Staff Software Engineer - ML Platform

Replicate is revolutionizing machine learning accessibility by enabling cloud-based model deployment. Founded by veterans from Docker, Spotify, Dropbox, and other tech giants, they're transforming AI deployment to match web deployment's simplicity.

The Models team maintains a comprehensive public model library of cutting-edge generative AI models, ensuring optimal performance and usability. As a Machine Learning Engineer, you'll be at the forefront of deploying and optimizing image, audio, and video models, while implementing the latest research developments.

The role requires a strong foundation in software engineering (5+ years experience) combined with expertise in media models. While a PhD isn't mandatory, you'll need solid mathematical understanding and research paper comprehension skills. You'll be responsible for maintaining model libraries, developing training code for LoRA fine-tuning, and transforming academic research into practical applications.

The position offers flexibility with remote work options across the United States, though there's a preference for PST timezone alignment. For those near San Francisco, there's an opportunity to work from the office three days a week. The company culture emphasizes technical excellence, community involvement, and open-source contributions.

Replicate stands out for its mission to democratize machine learning, making it accessible to everyone without requiring advanced degrees. The team comprises hackers, engineers, researchers, and artists who prioritize API design, infrastructure reliability, and community engagement. With leadership from engineers who've created technologies like Docker Compose and OpenAPI, Replicate is positioned to make significant impacts in AI accessibility and deployment.

Senior ML Engineer role focusing on deploying and optimizing media models, implementing cutting-edge AI research, and developing fine-tuning tools.

Machine Learning Engineer - Media Models

Replicate is revolutionizing machine learning accessibility by making AI models easy to run in the cloud. Founded by veterans from Docker, Spotify, Dropbox, and other tech giants, they're transforming how AI deployment works. As a Creative AI Engineer on the Models team, you'll be at the forefront of generative AI, working with cutting-edge image, video, and audio models. The role involves exploring new models, sometimes before public release, understanding their capabilities, and sharing findings with the community. You'll be building in public, creating new open-source models, and developing tools using Python and ComfyUI.

The ideal candidate is deeply embedded in the gen AI community, technically proficient with Python and machine learning code, and experienced with ComfyUI. You'll be responsible for exploring new models, teaching others, and building innovative pipelines. The role offers flexibility with remote work options in the US, UK, or EU, or hybrid work from their San Francisco office.

Replicate's mission is to democratize machine learning, making it accessible to everyone without requiring a PhD. They believe in building powerful, reliable infrastructure and sharing their innovations with the community through open-source contributions. The company culture emphasizes technical excellence, community engagement, and ambitious goals, led by engineers who've created foundational technologies like Docker Compose and OpenAPI.

This is an opportunity to join a growing team that's defining the future of AI accessibility while working alongside experienced professionals from leading tech companies. The role combines technical expertise with creative exploration, making it ideal for someone passionate about both the technical and artistic aspects of AI development.

Creative AI Engineer role at Replicate focusing on exploring and developing cutting-edge generative AI models, building public tools, and creating innovative ML pipelines.

Creative AI Engineer

Cloud platform for running machine learning models, built by experts from Docker, Spotify, Dropbox, GitHub, Heroku, and NVIDIA.

Replicate is revolutionizing the AI deployment landscape by making machine learning models as accessible as web deployment. As a platform that enables running ML models in the cloud, we're backed by a stellar team of experts from industry giants like Docker, Spotify, Dropbox, GitHub, Heroku, and NVIDIA.

The Models team at Replicate is at the forefront of maintaining and updating our public model library with cutting-edge generative AI models. We're seeking a Creative AI Engineer to join our innovative team, where you'll work with state-of-the-art image, video, and audio models, often before their public release.

In this role, you'll be deeply involved in exploring and pushing the boundaries of AI models, discovering their unique capabilities, and sharing your insights with the community. You'll be writing clean Python code, working with ComfyUI, and building creative solutions with generative AI. Your work will directly impact how our users interact with and implement AI models.

The ideal candidate is someone who lives and breathes the gen AI community, has strong technical skills, and can communicate complex ideas effectively. While not required, we particularly value candidates with machine learning knowledge, artistic background, or experience across multiple AI domains (image, video, audio).

Working at Replicate means joining a team that's building foundational technologies and making AI more accessible. We offer competitive compensation ($150K – $240K) and the flexibility to work remotely from the US, UK, or EU, with an option for hybrid work in our San Francisco office.

Creative AI Engineer position at Replicate, focusing on exploring and implementing cutting-edge generative AI models for image, video, and audio generation.

A platform for creating, deploying, and running machine learning models, making AI accessible to every software developer.

Replicate is revolutionizing AI accessibility by building the premier platform for creating, deploying, and running machine learning models. As an Infrastructure Engineer on the Platform team, you'll be at the forefront of making generative AI available to developers worldwide.

The role involves managing the complete lifecycle of ML models, from packaging and deployment to serving, scaling, and monitoring. You'll be working with a platform that supports thousands of models and handles millions of daily predictions. This position offers a unique opportunity to build innovative solutions where your decisions have direct impact.

The technical stack includes Python, Go, Node.js, Kubernetes, Terraform, and databases like Redis, Google BigQuery, and PostgreSQL. You'll be working on critical infrastructure components, including multi-regional traffic management, GPU optimization, and sophisticated task allocation systems.

The ideal candidate brings experience in platform development at scale, understanding of complex systems architecture, and proven ability with Kubernetes operations. While ML/AI production experience is a plus, the role focuses on infrastructure rather than model building. Strong communication skills are essential as you'll be collaborating closely with teams and translating complex concepts into actionable insights.

Based in Replicate's Mission district office in San Francisco, this role offers the chance to be part of building a strong in-person culture while working on cutting-edge AI infrastructure. You'll be joining a team dedicated to democratizing AI technology and making it accessible to developers everywhere.

Infrastructure Engineer role at Replicate, building and maintaining scalable platforms for AI model deployment and serving, based in San Francisco.

Infrastructure Engineer

At Replicate, we're building the best way to deploy and operate machine learning models. We're looking for a Full Stack Product Engineer to help us create an exceptional user experience across every phase of the software development lifecycle - from coding to publishing, operating, monitoring, and administration. You'll be the bridge between design and functionality, crafting intuitive experiences that bring our vision to life.

We're looking for the right person, not just someone who checks boxes, so you don't need to satisfy all of these things. But, you might have some of these qualities:

- You thrive in the "back of the front-end" space, seamlessly integrating API and database changes with sleek user interfaces. You have experience partnering with designers to fully scope out and deliver features that involve complex user interactions.
- You excel at evolving complex web applications, balancing the need for rapid iteration with long-term maintainability and scalability.
- You have a user-centric mindset, and are passionate about building delightful software that "just works" for our customers. You can traverse the stack to refine the experience and polish out rough edges.
- Excellent communication skills. We think most of being a programmer is not programming. We want you to be able to communicate complex topics clearly, write down your thinking, write good docs, etc.

You might be particularly good for this job if:

- You have deep experience with React and Typescript. You're comfortable rolling up your sleeves and tackling complex UI problems, diagnosing and fixing performance issues, and building with accessibility in mind.
- You've helped decompose a monolithic web app into separate API and client applications. You've seen this kind of problem before and have opinions/cautionary tales/ideas about how best to tackle this.
- You have experience designing and implementing RESTful APIs, and can discuss the pros and cons of different API design patterns.
- You've worked on scaling full-stack applications and can articulate strategies for improving performance on both the frontend and backend as data and user load increases.
- You can discuss state management in React and explore tradeoffs between local state and context, or external libraries like Redux or React Query.

Extra bonus if:

- You have experience building and maintaining design systems or component libraries.
- It might be handy if you've dabbled in machine learning, or just have general curiosity about it.

Tech you'll be working with:

- Frontend: React, React Query, Remix, and TypeScript
- Backend: Python/Django and Node.js for server-side logic and API services
- Infrastructure: AWS and CloudFlare, with a particular focus on CloudFlare Workers

This role is based in our San Francisco office in the Mission. We don't have a strict in-office schedule, but we like people to come in at least 3 days a week.

Join Replicate as a Full Stack Engineer to build exceptional user experiences for machine learning model deployment and operation. Work with React, TypeScript, Python, and more in a supportive environment.

Replicate Engineering Jobs

Platform for creating, deploying, and running machine learning models, making AI accessible to every software developer.