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
- Visa sponsorship
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