Find Replicate Senior Software Engineer software engineering jobs

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

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 Senior Software Engineer Software Engineering Jobs

Find Replicate Senior Software Engineer software engineering jobs