Machine Learning Intern, BigHat Biosciences

• PhD in progress, BS/MS degree in ML, CS or in the sciences with significant ML experience and a strong mathematical background. Truly exceptional undergraduates may be considered
• Strong competency in Python, familiarity with PyTorch, exposure to modern software engineering best practices
• Strong communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams
• Nice-to-haves include experience with protein structure modeling, familiarity with antibody biology, and experience training and deploying models on AWS

• We are seeking talented, hard working interns to join our Machine Learning team for Summer 2025
• As an aspiring machine learning engineer or scientist you’ll be mentored by a member of our ML team and work with an interdisciplinary team of scientists to develop new methods to solve important ML-driven protein engineering problems
• Develop and evaluate a novel ML modeling or sequence optimization approach to solve an antibody engineering challenge relevant to BigHat’s therapeutics programs
• Work with an interdisciplinary team of biologists, data scientists and machine learning scientists to gain sufficient domain familiarity to ensure your work is impactful
• Document and present your results to relevant BigHat departments
• Write production-grade code such that successful methods can be deployed and evaluated in the wet lab

• Culture of excellence and growth
• Swift promotions with clear standards
• Autonomy and responsibility
• Fair compensation and recognition
• True work life balance

Total funding: $99.3m

Melding genetics and code, Bighat Bioscience is a protein therapeutics company that develops antibodies for the medical industry using machine learning and artificial intelligence. Established in 2019, its antibody design capabilities have been tried and tested for numerous use cases, including during the vaccine development race of the pandemic.