Remote Jobs at Unlearn AI

Candidates must possess a Bachelor of Science degree in computer science, engineering, physics, mathematics, or a related field. A minimum of 2 years of experience in developing and adapting machine learning models for real-world problems is required, along with demonstrable software engineering fundamentals. Fluency in the Python machine learning and data science ecosystem and evidence of successful ML project execution in an academic or industrial setting are also necessary.

- M.S. in computer science or engineering, physics, mathematics, or a related field - 3-4+ years of experience developing machine learning models and adapting them to solve real-world problems - Previous experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning - Strong software engineering skills and collaborative software development - Fluency in Python (inferred from context)

- At least 2 years of experience at a pharmaceutical/biotech company or CRO supporting clinical trials - MS or PhD in Statistics or Biostatistics - Experience writing statistical analysis plans and collaboration (inferred from context)

- Proven experience as a Product Designer - Experience leading design strategy and execution for products - End-to-end design experience (discovery to delivery) - Ability to partner with PMs, engineers, and ML researchers - Mentoring experience - Experience shaping design processes and best practices - Experience leading customer research and usability testing - Ability to evangelize design across the company

- At least 3 years experience as a product manager in a technology company working on technology-powered products - Bachelor’s degree or equivalent practical experience with demonstrated knowledge of the clinical development space - Demonstrated ability to ship high-impact products or features quickly - Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgment to assess risks, and to lay out your argument in a well-structured, data-informed, writte…