Machine Learning Jobs in Cambridge, MA

Lead development and application of computational and statistical methods for biomarker discovery and patient segmentation using multimodal clinical, omics, and real-world data. Partner with statisticians and scientists to write and defend analysis plans, build predictive ML/DL models, coordinate biomarker analyses for trials and RWD, validate assays, mentor team members, and communicate results to support drug development and regulatory submissions.

Lead end-to-end product design across Jerry’s core offerings, ship 0→1 features, partner with research/product/data, evolve a scalable design system, apply AI thoughtfully, and raise UX and visual craft to drive engagement and retention.

Lead end-to-end product design for Jerry's consumer web and mobile products. Translate data-heavy problems into intuitive user flows, wireframes, prototypes, and high-fidelity UI. Collaborate with PMs, engineers, and data scientists, leverage research and analytics, evolve the design system, and apply AI to improve personalization and automation.

Lead end-to-end performance creative for paid channels: conceptualize, produce, edit, and iterate ads across TikTok, Meta, YouTube, and CTV. Use AI tools, translate performance data into creative direction, manage agencies and production partners, and elevate brand and creative quality while optimizing for measurable growth.

Lead end-to-end product design for Jerry's core offerings, ship 0→1 features, partner with research/product/data, evolve the design system, and thoughtfully apply AI to create elegant, scalable consumer experiences.

Lead development and delivery of AI-powered features for digital and wealth management. Own product roadmap, translate business needs into product requirements, partner with engineering and data science on model development and deployment, measure product performance, ensure compliance in a regulated environment, conduct customer discovery, and support go-to-market and stakeholder communication.

Build and grow Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Develop channel-specific playbooks, grow and moderate subreddits, scale authentic content and engagement leveraging AI, and partner with Growth and Content teams. Measure sentiment, share of voice, referral traffic, and LLM citation to optimize community strategy.

Own Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Develop community playbooks, grow subreddits, create scalable authentic content and engagement strategies, leverage AI where helpful, collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Lead Jerry's organic presence on community platforms (Reddit, Quora, YouTube, TikTok). Build playbooks, grow subreddits, scale authentic content and engagement using AI, partner with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Lead Jerry.ai's organic presence across Reddit, Quora, YouTube, and TikTok. Develop community playbooks, grow and manage subreddits, create scalable content and engagement strategies (using AI where helpful), align with Growth and Content teams, and measure sentiment, share of voice, referral traffic, and LLM citation.

The Head of Toxicology Innovation leads strategies to integrate AI and ML into toxicology, oversees labs in France and the US, and ensures high-quality safety assessments in drug development.

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.

Develop and maintain software for grasping in robotics, integrate ML models, collaborate with a technical team, and participate in simulation testing.

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.

The Head of Data & AI Governance and Risk oversees governance, compliance, and quality of Data and AI capabilities, defining policies, engaging regulators, and ensuring adherence to standards across various business lines.

Lead a team of Principal Software Engineers to set technical strategy, contribute to system designs, and drive delivery while remaining technically active.

The Director of Product Management leads product strategy and execution, aligning it with corporate goals by building customer relationships and managing product roadmaps, P&L, and market insights.

Lead multiple machine learning teams focusing on prediction and planning for autonomous vehicles, setting technical direction, and fostering organizational growth through innovative AI solutions.

As an AI Product Specialist at Kensho, you will drive market expansion, manage customer engagement, and leverage AI product strategies while collaborating across teams to ensure effective go-to-market execution for AI solutions.

Build and deploy AI/ML models for various asset categories, design workflows, and quickly prototype solutions using customer data.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

The Director of Product will lead product strategy, manage product execution and drive innovation in drug discovery and scientific tools, ensuring alignment between customer needs and the scientific team's goals.