Research Engineer, Machine Learning
Role details
Job location
Tech stack
Job description
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:
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Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
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Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.
What You Will Do
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Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
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Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
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Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
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Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
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Deliver prototypes that become production-grade components for Le Chat and our enterprise API.
Requirements
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Master's or PhD in Computer Science (or equivalent proven track record).
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4 + years working on large-scale ML codebases.
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Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
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Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
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Strong software-design instincts: testing, code review, CI/CD.
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Self-starter, low-ego, collaborative.
Benefits & conditions
Pulled from the full job description
- Parental leave
- Health insurance
- Retirement plan, 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.