23 results for Machine Learning Scientist Jobs in Cambridge, MA, US

Company Overview: Ampersand Biomedicines is an innovative, privately held biotechnology company leading the way in developing multi-specific medicines that direct a wide range of therapeutic molecules to specific cells and biological contexts (www.Ampersand.bio). Ampersand was founded in Flagship Pi...

Responsible for building machine learning and deep learning models, conducting in-depth analysis of models, collaborating with teams to integrate models into production, designing scalable systems, implementing end-to-end solutions, and driving rigorous testing practices.

Responsible for designing and conducting independent machine learning research to promote antibody binder design, delivering robust production-quality models, collaborating with experimental teams, managing the Machine Learning team, and fostering a culture of collaboration and accountability.

Interns will work on advancing the field of artificial intelligence by addressing systems challenges in deep learning, computer vision, audio and speech processing, natural language processing, and machine learning. Responsibilities include making core algorithmic advances, developing and optimizing...

Job DescriptionAbout SeismicSeismic Therapeutic, a cutting-edge biomedicines company at the intersection of machine learning, protein engineering, and immunology, is seeking a creative, independently-minded machine learning scientist to help accelerate the Impact Platform for the computational disco...

Responsible for leading technical projects in machine learning and artificial intelligence, developing innovative AI/ML tools for biological data analysis, collaborating with industry partners, providing technical guidance, and conducting research in deep learning models.

About BasisBasis is a nonprofit applied AI research organization with two mutually reinforcing goals.The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to c...

Conduct research on machine learning and AI topics such as large language models, code models, AI agents, and software vulnerability detection. Collaborate with a research team to publish findings in top venues, aiming to develop novel approaches and methodologies with real-world applications.

Design and train machine learning models to optimize natural proteins and design synthetic proteins, spearhead computational antibody design, integrate diverse data for protein property optimization, establish data infrastructure for model training, develop production-quality code, and present scien...

Responsible for training state-of-the-art machine learning models, managing entire research projects, and collaborating with the founding team on technical decisions regarding model deployment. Requires extensive experience with distributed PyTorch and generative models.