Machine Learning Jobs in Cambridge, MA

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.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

The role involves driving business development in biotech and biopharma, managing strategic accounts, and collaborating with cross-functional teams to close multi-million-dollar enterprise deals.

Lead the development of healthcare data products using machine learning. Design models, collaborate with teams, and mentor others in statistical methods.

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 role involves leading AI strategy and implementation, overseeing teams, managing client accounts, and delivering strategic business solutions to enhance client value.

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.

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

Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.

The Principal Architect will lead the design and implementation of advanced payment systems leveraging AI, cryptography, and smart contracts, ensuring efficiency and innovation in financial transactions.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

As a Manager in the Finance team, you will support clients in their Finance Transformation using Oracle Cloud ERP and EPM, providing problem-solving, coaching, and analysis to enhance their financial functions with new technologies.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

As a Senior Manager in Cyber Strategy, Risk & Compliance, you will lead teams and projects focused on AI-enabled cybersecurity solutions, providing strategic guidance and managing risks for clients.

As a Senior Manager, you will lead finance transformation efforts, assist with Oracle implementations, manage teams, and ensure client satisfaction.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

This role involves using investment banking expertise to develop generative AI tools for financial modeling and transaction analysis, including valuation, financial modeling, and reviewing AI-generated outputs for accuracy.

The equity researcher will design, test, and improve generative AI tools for financial analysis, producing high-quality research outputs and evaluating AI-generated research.

The Sales Engineer in Financial Services coordinates with clients and internal teams, develops technical architectures, delivers presentations, manages implementations, and ensures customer satisfaction through technical support and product training.

Design, implement, and scale production-grade data and ML pipelines for risk and payments. Build ETL and feature engineering workflows, productionize models, establish observability and monitoring, participate in reviews and on-call rotations, and mentor junior engineers to ensure reliable, explainable decisioning systems.

Design, build, and operate scalable, reliable ML inference systems, backend services, and data pipelines for health features. Translate research prototypes to production, ensure monitoring/validation within a quality-managed SaMD environment, provide technical leadership, and participate in on-call rotations to maintain uptime and reliability.

The Staff Machine Learning Engineer will design and build scalable ML systems for health insights, collaborating with cross-functional teams to ensure compliance and quality in production-ready services.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Lead WHOOP's cloud-based core algorithm teams to develop, validate, and productionize models for sleep, recovery, and training. Drive technical vision, cross-functional alignment with Sensor Intelligence and Hardware, improve ML lifecycle practices (experiment tracking, deployment, monitoring), and manage and grow applied ML scientists and engineers to deliver better member experiences.