Machine Learning Jobs in Cambridge, MA

Lead onboarding of brokers, dealers, and vendors using the FIX protocol; design and implement AI-assisted automation for FIX workflows; configure, test and troubleshoot FIX connections; collaborate with trading, developers, BAs, and QE to define requirements, resolve production issues, and improve onboarding and execution workflows.

The GNC Mission Analyst analyzes performance of weapon system concepts, supports research, and collaborates on mission designs, addressing complex national challenges.

Lead the development of AI applications and data products to enhance Immunology R&D. Manage a technical team and collaborate across departments.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

Lead ML Engineer for Finance Tech to design, build, deploy, and maintain AI/ML systems (including LLMs and RAG). Partner cross-functionally to create production data pipelines, model evaluation, governance, observability, and responsible AI practices while contributing technical vision and scaling AI infrastructure.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Lead global epidemiology and real‑world evidence (RWE) strategy for oncology assets across the product lifecycle. Design and oversee prospective and retrospective RWE studies, develop integrated evidence plans, ensure regulatory and payer alignment, mentor teams, partner cross-functionally, and promote methodological innovation and data-driven insights to support regulatory, clinical, and market access decisions.

Work with sales and partners to solve complex customer problems, deliver value-based demos and proofs of concept, map customer architectures to Snowflake Data Architecture, support design and implementation, and help close large enterprise deals while maintaining expertise in data warehousing, ETL, analytics, and ML/generative AI.

Lead enterprise-level strategy and delivery for building design, engineering, data readiness, and AI adoption. Define customer success plans, run workshops, shape consulting offerings, mentor staff, drive change management, and ensure high-quality project delivery and measurable customer value.

Senior AI leader driving end-to-end delivery of AI solutions across Corporate Functions, focusing on fraud detection and financial crime prevention. Leads cross-functional teams, defines roadmaps, provides hands-on technical architecture and prototyping, ensures governance/security/compliance, promotes enterprise reuse, and drives stakeholder adoption and measurable business outcomes.

Lead development and deployment of next-generation, high-throughput lab technologies for biologics discovery. Build platform roadmaps, mature arrayed/pooled assays, partner with protein engineering and data science, lead a hands-on lab team, set benchmarks for throughput, speed, reproducibility, and drive organizational adoption.

Seek an Enterprise Account Lead to drive revenue in life sciences by managing pharma accounts, leading sales cycles, and collaborating with technical teams to close deals.

The Senior Solution Architect leads the architectural strategy for finance systems, aligning technology with business goals, ensuring compliance, and driving innovation through AI and ML integration.

The role involves training and deploying state-of-the-art ML models, with ownership over research projects and familiarity with data engineering.

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

The Machine Learning Engineer will design and implement ML pipelines and productionize models, collaborating with scientists and engineers on scalable systems.

Lead development of advanced ML models and production-grade systems to optimize pricing, allocation, and auctions in Roku's ad serving platform. Translate business problems into hypotheses, run live experiments, mentor teams, and collaborate cross-functionally to drive marketplace intelligence and demand optimization.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

As a Solution Architect, you will design and architect modern IT systems for healthcare, collaborating with product owners and leading technical discussions to improve efficiency and service delivery.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

Lead product strategy for Suno's research org by defining evaluation frameworks, connecting creator needs to model capabilities, prioritizing research, running experiments, and bringing model improvements to market in partnership with researchers and cross-functional teams.