Top AI Research Jobs in Boston, MA

Conduct applied AI research and develop foundation models from design through training, evaluation, validation, and production deployment. Collaborate with data scientists, software engineers, machine learning engineers, and product managers to deliver scalable AI products. Lead research initiatives, evaluate emerging methods, optimize large-scale deep learning systems, and translate scientific findings into customer and business impact.

Leads multidisciplinary teams developing, modeling, integrating, testing, and demonstrating signal processing, optimization, and machine learning algorithms for radar, electronic warfare, and advanced sensor systems. Responsibilities include developing RF and radar concepts, directing modeling and simulation, supporting laboratory and field test evaluations, assessing system performance, translating customer requirements into research priorities, and presenting technical solutions to customers, sponsors, and senior management.

Lead the technical direction and execution of WHOOP’s foundation AI modeling efforts across wearable sensor data, language, biomarkers, and behavioral signals. Drive high-risk research from hypothesis to production, shape AI strategy and infrastructure decisions, collaborate across research, product, and engineering, mentor senior technical talent, establish evaluation standards, and represent WHOOP externally through recruiting, partnerships, and the machine learning research community.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

Senior technical leader defining 10-year scientific visions and systems architecture for Bose Research franchises. Ensures coherence across AI/ML, sensing, signal processing, and edge domains; guides foundational IP, models, datasets, and evaluation frameworks. Oversees program architecture, technical governance, and translation of research into scalable platforms and products while representing Bose externally and collaborating with research and engineering stakeholders.

Supports AI safety, robotics, cybersecurity, Physical AI, and advanced mobility projects. Conducts research on standards, regulations, and emerging technologies; assists with safety assurance and consulting activities; develops reports, presentations, workshops, and client deliverables; and contributes to AI safety, cybersecurity, robotics, and technology capabilities.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum team.

Develop evolutionary algorithms for autonomous scientific discovery, enabling populations of models, hypotheses, programs, and representations to evolve through iterative search, selection, evaluation, and recombination. Build Bayesian and probabilistic methods for candidate ranking, uncertainty estimation, diversity preservation, and quality measurement. Establish benchmarks, integrate algorithms into autonomous-science pipelines, publish research, guide technical direction, and mentor colleagues as a senior individual contributor.

Tenure-track and tenured faculty will teach undergraduate and graduate courses, mentor students and postdoctoral researchers, conduct internationally recognized and independently funded AI or computer science research, and provide university and professional service. Research may focus on physical AI, human-centered AI, AI and software engineering, or AI safety, security, and alignment. Candidates will also contribute to inclusive teaching, experiential learning, and interdisciplinary collaboration across Northeastern’s colleges and research institutes.

Lead the application of agentic AI and predictive biological models to identify and validate novel drug targets. Partner with therapeutic scientists, deploy multi-agent systems, contribute to foundation model development, advise cross-functional teams, shape scientific strategy, and represent AstraZeneca through publications and collaborations.