Description
About the Role ====================
We are seeking a Research Engineer to join our Machine Learning team. As a Research Engineer, you will work on building and optimizing large-scale learning systems that power our open-weight models.
Responsibilities ----------------
- 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.
- 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 cash salary and equity.
- Food: Daily lunch vouchers.
- Sport: Monthly contribution to a Gympass subscription.
- Transportation: Monthly contribution to a mobility pass.
- Health: Full health insurance for you and your family.
- Parental: Generous parental leave policy.
Note: Benefits may vary depending on location.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/mistral/07447e1d-7900-46d4-b61b-186f2f76847f