4 machine learning engineer jobs found in Boston

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB’s mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes. Key Responsibilities:...

Job Summary: As our Lead Software Engineer, you will collaborate with and shepherd software engineers, data scientists, and machine learning engineers, and will develop AI-based software solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, exploring the use of everything from the latest generative AI models to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. Job-Specific Responsibilities: Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and...

This role has the possibility of being remote or hybrid.  Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Please note that you may be expected to come to our Boston, MA based campus with specific duration and frequency to be determined by the department’s needs. Hybrid - We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.  Job Summary: Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver...

Job Summary: Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed.  May manage a number of projects simultaneously. The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value. Job-Specific Responsibilities: Product Balance innovation with practical implementation, assessing technical feasibility and business impact Establish success metrics and KPIs for AI product initiatives Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model...