Member of Technical Staff

Highlights

• Architect novel generative models to design new functional proteins.
• Join an interdisciplinary team working to control biology and cure diseases.
• Test AI-designed proteins in wet lab and iterate from real results.

What they offer

• Private health insurance
• Pension/401(K) contributions
• Generous leave policies including gender neutral parental leave
• Hybrid working
• Travel opportunities
• Stimulating work environment shaping future of synthetic biology

Ideal candidate

Mission-driven ML researcher passionate about real-world impact and curious about biology, thriving in fast-paced interdisciplinary teams to turn generative models into cures.

Requirements

• Experience in generative modeling with proven track record of deep expertise
• Led notable ML projects evidenced by open-source contributions, product launches or high-impact publications e.g. NeurIPS, ICML, ICLR, Nature
• Strong ML engineering skills writing robust, tested, maintainable code with version control and code review
• Experience training and running inference on cloud hardware with data and model parallelization across accelerators
• Experience building scalable ML data pipelines, dataset splits and evaluation for deep learning models
• Ability to optimize deep learning models for training/inference speed and validation performance
• Mission-driven, curious and thrives in fast-paced dynamic environments