Machine Learning Jobs in Cambridge, MA

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

Lead development of Circle's financial risk analytics, AI/ML-powered tools, and model risk program. Oversee risk appetite, controls, stress testing, and governance while managing teams and coordinating cross-functional and regulatory activities.

The Senior Program Manager will lead Foundational AI projects, translating complex strategies into operational plans and ensuring project alignment across technical and business teams.

The Program Manager will oversee algorithm development, manage timelines and dependencies, facilitate team communication, and improve development processes.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

The Senior Data Scientist will analyze healthcare data to identify care gaps and segment key healthcare professionals, guiding strategic medical activities and mentoring other data scientists.

The position involves architecting high-throughput distributed payment systems, designing EVM infrastructures, implementing smart contracts, optimizing transactions, and leading AI innovations in payment processing.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

As an AI Data Strategist, you will use AI and ML to analyze customer feedback, providing insights for improving customer experience and retention. You'll collaborate with teams to bridge unstructured data with structured analyses, creating actionable strategies that drive business outcomes.

In this role, you will develop AI foundation models, perform applied research, collaborate with cross-functional teams, and leverage advanced technologies to enhance customer experiences in banking.

Lead the Customer Agent AI project at Klaviyo, managing engineering teams, defining technical direction, and driving architectural decisions to develop a conversational AI platform.

Lead WHOOP's AI strategy, developing intelligent systems to enhance health performance. Oversee cross-functional teams, ensure compliance, and foster innovation in AI applications.

Develop AI applications and integrate LLM models while collaborating with enterprise teams. Troubleshoot technical issues and utilize prompt engineering.

The VP of Product (AI) will lead the AI product strategy, transforming health engagement through innovative AI solutions while managing cross-functional teams to deliver measurable outcomes.

The Fraud Risk Director will architect and implement a global fraud prevention strategy, oversee fraud assessment, and ensure security while enhancing customer experience as Flywire expands into new markets.

The Sales Engineer will engage clients, design technical solutions, present Proofs of Concept, and ensure successful implementations in the Financial Services sector.

Lead the development and deployment of software for AI and mission planning, managing teams and ensuring successful project execution.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

The Senior Security Engineer will build and maintain detection systems, automate responses, and lead incident investigations to enhance security observability.

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

The Director will develop and execute sales strategies for the Test & Learn platform targeting Financial Institutions, focusing on multi-year deals, building client relations, and analyzing business experiments to generate insights.

Senior Robotics Engineers at Anduril develop perception and planning capabilities for autonomous maritime systems, ensuring system integration, testing, and collaboration with cross-functional teams.

As a Sr. Lead FinOps Analyst, you'll lead the FinOps strategy, optimize cloud financial management, and champion cost-saving initiatives while mentoring teams.