Machine Learning Scientist

Highlights

• Architect novel generative models to design new proteins for wet-lab testing.
• Join an interdisciplinary team working to control biology and cure disease.
• Plan wet-lab testing campaigns and learn from results to improve models.

What they offer

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies (including gender neutral parental leave)
• Hybrid working
• Travel opportunities

Ideal candidate

Mission-driven ML researcher passionate about generative modeling and real-world impact, thriving in fast-paced interdisciplinary teams and curious to learn protein biology to cure disease.

Requirements

• Experience in generative modeling with proven track record of deep expertise
• Led or contributed to notable ML projects via open-source, product launches or top-tier publications
• Strong ML development skills writing robust, tested, maintainable code with version control and code review
• Experience running training and inference on cloud hardware with data and model parallelism across accelerators
• Experience building scalable ML data pipelines, dataset splits and evaluation for deep learning models
• Understanding of optimizing deep learning models for training/inference speed and validation performance