Machine Learning Scientist

relace· Model Training
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📍 San FranciscoFullTime

About this role

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 background in machine learning, deep learning, or related fields.

  • 2+ years of experience working on ML research or production systems.

  • Fluency in Python and frameworks like PyTorch or JAX.

  • Experience with training and optimizing large or efficient models.

  • Strong understanding of applied optimization, distributed training, or model evaluation.

  • Familiarity with code models, retrieval systems, or language modeling a plus.

  • Advanced degree (MS or PhD) in a quantitative field, or equivalent industry experience.

  • Willingness to work in-person from our SF office in FiDi.

Frequently Asked Questions

Is the salary disclosed for the Machine Learning Scientist position at relace?
The salary for this Machine Learning Scientist role at relace is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Machine Learning Scientist position at relace located?
This Machine Learning Scientist role at relace is based in San Francisco. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Machine Learning Scientist role at relace full-time or part-time?
This is listed as a FullTime position. It is posted as a Machine Learning Scientist role in the Model Training department at relace.
Which team or department does the Machine Learning Scientist at relace belong to?
This Machine Learning Scientist position is part of the Model Training department at relace. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Machine Learning Scientist position at relace?
Click the "Apply Now" button on this page. You will be redirected to relace's official application portal hosted on ashby where you can submit your application directly.
When was the Machine Learning Scientist job at relace posted?
This Machine Learning Scientist position at relace was posted on Oct 29, 2025. Apply as soon as possible — early applications are often reviewed first.
Machine Learning Scientist
relace
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You'll be redirected to relace's official application page on Ashby ATS.