Machine Learning Scientist • Senior

Who you are

You hold a Ph.D. or M.S. in a quantitative field and have a strong background in deep learning, particularly in designing and optimizing neural network architectures. Your hands-on experience with complex data sets, especially in the context of biological systems, sets you apart. You are passionate about building high-quality models that have a significant impact on therapeutic discovery and development. You thrive in collaborative environments, working closely with scientists and engineers to integrate models into products and infrastructure. You stay current with the latest research in deep learning and its applications in chemistry and biology, always looking for ways to innovate and enhance modeling capabilities.

What you'll do

As a Senior Machine Learning Scientist, you will be a core contributor to our deep learning systems, focusing on the design, building, and optimization of neural network architectures that interpret complex mass spectrometry data. You will own significant model components and drive projects from experimentation through deployment, ensuring high iteration velocity by writing clean, well-tested code in PyTorch and NumPy. Your role will involve executing complex ML projects, including experiment design, implementation, evaluation, and iteration based on results. You will collaborate closely with cross-functional teams to integrate your models into our product offerings, contributing to the overall success of Matterworks in unlocking opportunities in therapeutic discovery and development.

What we offer

At Matterworks, we are committed to fostering a diverse and inclusive workplace. We offer opportunities for continued education and coursework, as well as participation in conferences to help you grow in your career. Our team is dedicated to building AI tools that make a real difference in the field of biology, and we encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to transform biological data into actionable insights and be part of a team that values innovation and collaboration.