[{"@context":"https://schema.org","@type":"JobPosting","title":"Product Engineer (Frontend)","description":"

About Us

Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.

Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.

Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.

The Role

We’re looking for a Product Engineer (Frontend) who loves building polished, fast, and intuitive interfaces. This person will work at the edge of product and engineering, helping shape how developers interact with powerful models and infrastructure.

The ideal candidate enjoys shipping user-facing features quickly, iterating directly with users, and taking products from zero to one. They should have a strong sense of design quality, understand how to make complex systems feel simple, and be comfortable building full-featured frontends that scale.

This role is a good fit for someone who thrives in high-velocity environments, has a taste for good UI, and wants to own large parts of the product experience end-to-end.

Requirements

2+ years of experience building and shipping user-facing web products.
Fluency in modern frontend frameworks (React,","datePosted":"2025-10-29","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Relace","sameAs":"https://relace.ai"},"url":"https://jobs.ashbyhq.com/relace/d1515de1-ab5b-4b8e-ba56-36d40f8ca26b","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"
About Us
Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
The Role
We’re looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design.
The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures.
This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments.
Requirements
- Strong background in systems-level ML engineering.
- Experience with CUDA, GPU kernel optimization, and p","datePosted":"2025-10-29","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Relace","sameAs":"https://relace.ai"},"url":"https://jobs.ashbyhq.com/relace/2deb110b-b848-4316-a120-f1864d788e94","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Scientist","description":"
  About Us
  Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
  Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
  Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
  The Role
  We’re looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our models for retrieval, application, and code generation.
  The ideal candidate has a strong background in ML research and engineering, is comfortable working with both theory and production systems, and thrives in an environment where ideas turn into deployed infrastructure fast. This person should be excited to work on training methodology, optimization, evaluation, and model architecture at scale — and collaborate directly with infrastructure and product teams to get breakthroughs into production quickly.
  This role is best suited for someone who loves both mathematical elegance and real-world impact.
  Requirements
  - Strong backgr","datePosted":"2025-10-29","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Relace","sameAs":"https://relace.ai"},"url":"https://jobs.ashbyhq.com/relace/bc8f030e-157f-44b1-95ac-65fb1d807cc1","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Developer Relations Advocate","description":"
    About Us
    Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions.
    Our technology supports some of the world’s fastest-moving companies — including Lovable, Figma, and Vercel — as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we’re growing quickly.
    Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you.
    The Role
    We’re looking for a Developer Relations Advocate who can translate cutting-edge infrastructure and model work into stories, tutorials, and conversations that inspire developers. This person will serve as the connective tissue between our technical team and the broader builder ecosystem — not just promoting Relace, but helping shape how developers understand and use the technology.
    The ideal candidate loves writing, is fluent in technical communication, and has a deep curiosity about how systems work. They’re comfortable publishing blog posts that dig into new model capabilities, producing hands-on demos, and building trust with developers through clarity and rigor.
    This role blends technical depth, community presence, and storytelling. It’s perfect for someone who enjoys explaining complex ideas simply and precisely — and who thrives in fast-moving, technical environments.
    Requirements

Relace

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