Machine Learning Engineer

About Us

At Converge Bio, we’re building cutting-edge AI solutions for bio R&D teams, leveraging deep learning to unlock new insights in genomics, single-cell biology, and more. 

Our foundation models push the boundaries of what’s possible in AI for life sciences.

If you’re passionate about building models from scratch and tackling real scientific challenges, we’d love to meet you.

The Role

We are looking for 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

• 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)