Top Tech Jobs & Startup Jobs in Boston, MA

Lead research on agentic systems, agent ecosystems, advanced agentic capabilities, human-agent interaction, evaluation tooling, and responsible AI. Build and deploy prototypes, collaborate across teams, publish research, and translate innovations into practical, impactful applications.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

12-week in-person research internship at Microsoft Research NYC on self-improving AI systems. Work with mentors and peers on language modeling and reinforcement learning research, present findings, and contribute to projects. Applicants must submit references, a cover letter, and work samples.

Lead customer-facing data science engagements: manage data acquisition and cleaning, build and evaluate scalable models, drive model best practices and ethics, write extensible code, research industry trends, define solution strategy, and collaborate across engineering and product teams to deliver AI/cloud solutions.

Design, implement, test, and optimize components of AI/ML frameworks (ONNX, ONNX Runtime, Foundry Local). Improve system performance and efficiency, collaborate with internal/external partners, provide technical support, and contribute to open-source and cross-platform deployments for devices from servers to mobile and edge.

Drive complex, cross-functional engineering projects as a Product Owner: define customer scenarios, coordinate engineering and stakeholders, deliver roadmaps, track schedules, validate use cases, write test cases, collect metrics, lead governance and customer engagements to implement cloud and AI-based solutions.

Lead cross-functional engineering programs that build cloud and AI solutions with customers. Define success criteria, coordinate roadmaps, track schedules, drive staging/implementation, validate use cases, write test cases, and lead governance and customer engagements.

Design and build scalable AI-first experimentation and growth systems: telemetry, experiment assignment, feature flighting, rollout automation, and risk controls. Lead cross-team initiatives, partner with Product/Data Science/Design, write production code, review implementations, and raise engineering and experimentation quality across products.

Build and ship AI-first growth experiments and scalable systems to drive acquisition, activation, engagement, and retention. Design and evolve A/B testing frameworks, instrumentation, metrics, and tooling; partner with Product, Data Science, Design, and Research to iterate quickly and scale successful patterns across global, high-traffic AI products.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.