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Research Engineer, Machine Learning

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Assessfirst

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Location:
United States , Palo Alto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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: Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, …) and turn fresh ideas into repeatable, scalable code.

Job Responsibility:

  • 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
  • Strong software-design instincts: testing, code review, CI/CD
  • Self-starter, low-ego, collaborative

Nice to have:

bonus for CUDA or data-pipeline chops

What we offer:
  • 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
  • Visa sponsorship
  • Coaching: we offer BetterUp coaching on a voluntary basis

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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