Research Engineer

1 week ago

San Francisco, California, United States Seer Full time

Research Engineer – Large Language Models (Foundational Model from Scratch)

Bay Area, CA

A deep-tech startup on a mission to build a foundational AI model from scratch. Our team combines world-class research, cutting-edge engineering, and a bold vision: to create AI systems that are causal, interpretable, and scalable. Backed by top-tier investors and pioneering talent in AI, we're tackling some of the hardest problems in modern machine learning.

We are looking for a
Research Engineer
who has hands-on experience contributing to
large language models (LLMs)
— whether that's pretraining, post-training, or fine-tuning. You will join our team building a
foundational model from scratch
, shaping its architecture, training pipelines, and capabilities. This is a rare opportunity to work at the forefront of AI research and engineering in the Bay Area.

What You'll Do:

  • Lead and contribute to core development of a
    foundational language model
    , including model architecture, training strategies, and evaluation.
  • Implement, optimize, and scale
    pretraining, fine-tuning, and post-training pipelines
    for large-scale models.
  • Collaborate closely with research scientists and ML engineers to push the boundaries of LLM capabilities.
  • Conduct experiments to improve model performance, generalization, and safety.
  • Build reusable infrastructure and tools for training, evaluation, and deployment of next-generation LLMs.

What We're Looking For:

  • Strong hands-on experience with
    large language models
    , ideally with contributions to pretraining, fine-tuning, or RLHF.
  • Expertise in
    PyTorch or JAX
    , distributed training, and large-scale ML pipelines.
  • Solid understanding of modern LLM architectures and training techniques.
  • Ability to translate research insights into scalable engineering solutions.
  • Passion for building models
    from the ground up
    and contributing to a high-performing, collaborative team.

Apply now for a confidential chat

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