Research Engineer, Machine Learning
Mistral AI
full-time
Posted on:
Location Type: Hybrid
Location: Palo Alto • California • United States
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Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- - 💰 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningPythonPyTorchJAXTensorFlowdistributed trainingCUDAdata pipelinessoftware design
Soft Skills
self-startercollaborativelow-ego
Certifications
Master’s in Computer SciencePhD in Computer Science