---
title: 'Research Engineer, ML Platform at Mistral'
canonical: 'https://feeny.ai/job/research-engineer-ml-platform-mistral-palo-alto-znvgpkdp419r'
type: 'job'
last_seen: '2026-09-13'
---

# Research Engineer, ML Platform at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/51c1df24-53f1-4ec9-9523-cd40c88e00cf

## Job description

## About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

## The Role

This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions. You will work across the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations. You will take ownership of critical systems and help turn complex infrastructure into reliable, self-service capabilities.

## What You Will Do

- Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference.
- Orchestrate GPU Workloads: Build systems for queueing, admission control, quotas, priorities, preemption, and topology-aware placement.
- Manage Compute Capacity: Improve how heterogeneous GPU resources are provisioned, allocated, and utilized across clusters.
- Enable Multi-Cluster Execution: Place workloads based on capacity, data locality, hardware requirements, and organizational priorities.
- Improve Researcher Experience: Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce.
- Optimize Performance: Improve GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency.
- Build for Reliability: Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads.
- Operate What You Build: Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure.

## What We're Looking For

- Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field.
- Are proficient in Python or Go and comfortable working with production-grade distributed systems.
- Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management.
- Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement.
- Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference.
- Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking.
- Understand concepts such as quotas, priorities, preemption, gang scheduling, topology awareness, and workload admission.
- Can diagnose performance and reliability problems across software, orchestration, networking, storage, and hardware.
- Care about developer experience and enjoy turning complex infrastructure into simple, reliable interfaces.
- Thrive in an ambiguous, fast-moving environment shaped by frontier AI research.

## What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our [Benefits page](https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link).

Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our [Applicant Privacy Policy](https://legal.mistral.ai/terms/applicant-privacy-policy).

## About Mistral

## Company Overview
- **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Paris, France (15 rue des Halles)
- **Founded**: April 2023
- **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software
- **Target customers**: B2B, Enterprise, Government, and Developers (B2D)
- **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems."

## Products & Services
- **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks.
- **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments.
- **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion.
- **Le Chat**: Consumer-facing AI assistant and chatbot.
- **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
- **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
- **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control.
- **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
- **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications.
- **Voxtral**: Voice AI model for speech-based interactions.

## Market Standing
- **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
- **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
- **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
- **Growth Signals**: 
  - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
  - 50% of leadership roles held by women.
  - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
  - Strong presence in high-stakes, regulated industries (defense, energy, public sector).

## Competitive Advantages
- **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
- **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
- **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
- **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making.

## Strategic Focus
- **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
- **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
- **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
- **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

## Why Work Here
- **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- **Notable perks and benefits** (from careers page):
  - 20 weeks paid parental leave for all birthing parents.
  - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
  - 6% 401k match (US) / 5% pension contribution (UK).
  - Childcare support (reserved daycare seats or financial assistance).
  - Meal allowances and transportation support.
  - Fitness and wellness subsidies.
  - Relocation and settling-in services.
  - Financial and career planning support.
- **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders.
- **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

## Sources
1. [Mistral AI - About Page](https://mistral.ai/about/)
2. [Mistral AI - Careers Page](https://mistral.ai/careers/)
3. [Mistral AI - Homepage](https://mistral.ai/)
4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai)
5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai)

## Other roles at Mistral

- [Applied AI Engineer, AI for Mistral](https://feeny.ai/job/applied-ai-engineer-ai-for-mistral-mistral-paris-x0mkaszmqrrn) — Paris, France
- [Field CTO, DACH](https://feeny.ai/job/field-cto-dach-mistral-munich-0cqtpfs21qsf) — Munich, Germany
- [Research Engineer, Full Stack](https://feeny.ai/job/research-engineer-full-stack-mistral-palo-alto-em0x4tqd599e) — Palo Alto, CA
- [Technical Program Manager, Science Operations](https://feeny.ai/job/technical-program-manager-science-operations-mistral-paris-x1g7pj7k481q) — Paris, France
- [Account Executive Enterprise, KSA](https://feeny.ai/job/account-executive-enterprise-ksa-mistral-dubai-jek2h0dqdjjr) — Dubai, United Arab Emirates
- [Account Executive Enterprise, Turkey](https://feeny.ai/job/account-executive-enterprise-turkey-mistral-dubai-a0aq7hxr39qj) — Dubai, United Arab Emirates
- [Compute Solution Architect](https://feeny.ai/job/compute-solution-architect-mistral-new-york-3cbx78fj2vd0) — New York, NY
- [Technical Recruiter, APAC](https://feeny.ai/job/technical-recruiter-apac-mistral-singapore-gsyy35t1s0fb) — Singapore
- [Field Marketing Manager - ASEAN](https://feeny.ai/job/field-marketing-manager-asean-mistral-singapore-b29gsrny4qne) — Singapore
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-mistral-palo-alto-ka7se9gqvz6t) — Palo Alto, CA