Research Engineer, Machine Learning

The Resume Database; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading AI-focused technology company in California is seeking an experienced Research Engineer to build and optimize large-scale learning systems for open-weight models. Responsibilities include integrating research with production, conducting experiments on cutting-edge ML techniques, and delivering prototypes that evolve into production-grade components. Candidates should have a Master's or PhD in Computer Science and over 4 years of experience with ML codebases and relevant tools. This role offers competitive compensation in a dynamic work environment.

Qualifications

• 4+ years of experience in developing large-scale ML systems.
• Experience with distributed training and deep learning techniques.
• Strong software-design instincts, including code review and CI/CD practices.

Responsibilities

• Build and optimize large-scale learning systems for open-weight models.
• Integrate research with production, streamlining evaluation and exposing APIs.
• Conduct experiments with advanced deep-learning methods.
• Deliver prototypes that evolve into production-grade components.

Skills

Large-scale ML codebases

PyTorch

JAX

TensorFlow

DeepSpeed

FSDP

SLURM

K8s

Deep learning

NLP

Education

Master's or PhD in Computer Science

Job description

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute – a suite that brings frontier intelligence to end-users.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

Role Summary

About the Research Engineering team

The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.

As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:

• Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
• Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.

What will you do

• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

About you

• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.