Machine Learning Engineer

Retro is pioneering the development of therapies targeting age-related diseases through innovative approaches in cellular reprogramming and autophagy. As a Machine Learning Engineer on our hybrid Applied AI team, you'll be at the forefront of merging cutting-edge AI/ML models with wet lab methodologies to accelerate longevity therapeutics discovery.

The role demands an experienced professional with 3-6 years of intensive research experience or a Ph.D. in Computer Science, Machine Learning, or related fields. You'll be instrumental in pushing the boundaries of biological foundation models, working with various modalities including protein and DNA language models. Your responsibilities will include translating complex datasets into actionable modeling problems and collaborating closely with wet lab teams to validate model-designed sequences.

We're seeking candidates who combine technical excellence with strong communication skills. You should have deep expertise in machine learning algorithms, experience with sequence and structure databases, and proficiency in Python and PyTorch. The position offers competitive compensation ($170,000-$250,000) plus equity, comprehensive benefits, and the opportunity to work in a dynamic, mission-driven environment.

This is an ideal opportunity for someone passionate about extending healthy human lifespan through AI applications in biotechnology. You'll be joining a diverse, collaborative team that values rapid iteration, transparency, and versatility. The role offers the unique chance to directly impact experimental results and contribute to groundbreaking discoveries in longevity therapeutics.