The Role

We are looking for an ML Engineer with strong NLP expertise to help us develop, fine-tune, and deploy models for biological and genomic data. This is not an “off-the-shelf AI” role - our work involves deep research, foundation models, and novel architecture design.

What You’ll Do

•  Design and train custom LLMs

•  Implement efficient training pipelines using PyTorch, Hugging Face, and distributed computing

•  Develop novel model architectures and push the limits of AI in genomics & life sciences

•  Work closely with ML researchers and domain experts to design high-impact AI solutions

•  Stay ahead of the latest advancements in AI research (e.g., LLMs, protein modeling, etc.)

What We’re Looking For

•  4+ years of hands-on experience in NLP & Deep Learning

•  Strong background in PyTorch

•  Experience training models from scratch and fine-tuning LLMs, not just using LangChain or API-based AI

•  Deep understanding of transformer architectures, tokenization, and self-supervised learning

•  Solid software engineering skills (writing clean, modular, and scalable ML code)

•  Experience with distributed training (DDP, FSDP, multi-GPU scaling, etc.)

•  Experience in bioinformatics, genomics, computational biology (advantage)