Research Engineer, Machine Learning

Socket.dev; Palo Alto (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity

Healthcare: Medical/Dental/Vision covered

Pension: 401K (6% matching)

PTO: 18 days

Transportation reimbursement

Gym membership reimbursement

Meal stipend of $400 monthly

Visa sponsorship

Coaching services

Job summary

A pioneering AI company in California is seeking a Research Engineer for ML to enhance large-scale learning systems and collaborate with Research Scientists. The ideal candidate will have a Master's or PhD in Computer Science, over four years of experience in ML codebases, and skills in Python, PyTorch, or TensorFlow. This position offers competitive salary and equity, healthcare coverage, a 401K plan, generous PTO, and other benefits. Join the team to innovate and drive your career in AI forward.

Qualifications

• 4+ years working on large-scale ML codebases.
• Experience with distributed training.
• Strong software-design instincts.

Responsibilities

• Accelerate researchers by building robust tools.
• Integrate cutting-edge research with production.
• Conduct experiments on the latest deep-learning techniques.

Skills

ML pipelines

Python

PyTorch

TensorFlow

JAX

Collaborative teamwork

Education

Master’s or PhD in Computer Science

Tools

DeepSpeed

FSDP

K8s

Job description

About Mistral

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.
• 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.
• Self‑starter, low‑ego, collaborative.

What we offer

• 💰 Competitive salary and equity.
• 🚑 Healthcare: Medical/Dental/Vision covered for you and your family.
• 👴🏻 Pension : 401K (6% matching)
• 🏝️ PTO : 18 days
• 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport
• 🏀 Sport: $120/month reimbursement for gym membership
• 🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)
• 🌎 Visa sponsorship
• 🤝 Coaching: we offer BetterUp coaching on a voluntary basis