Research Intern, Machine Learning

Output Biosciences • San Francisco, CA

1d

About The Position

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible.
Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.
Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.

Requirements

• You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field
• You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow
• You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues
• You are proficient in Python and have experience with large-scale data processing and analysis
• You have excellent problem-solving skills and the ability to work independently on complex research problems
• You are passionate about applying AI to solve real-world challenges in biology and medicine
• You have strong communication skills and can effectively present technical concepts to diverse audiences
• You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field

Nice To Haves

• Experience with biological data analysis or computational biology projects
• Familiarity with generative AI models, such as transformers or diffusion models
• Contributions to open-source machine learning or bioinformatics projects

Responsibilities

• You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation
• You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets
• You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery
• You will present your research findings and contribute to publications in top-tier conferences and journals
• You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology

Benefits

• We encourage new and different ideas, creativity and contrarian thinking
• Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
• You own your day-to-day management. What we care about is that we all hit our milestones
• Competitive salary and equity in a growing, well-funded startup
• Excellent medical, dental, and vision coverage

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree