Top AI Jobs in Boston, MA

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

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

The role involves designing and optimizing large-scale multimodal AI models, conducting applied research, and collaborating with cross-functional teams to deliver impactful member value at WHOOP.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

The role focuses on building and automating AI workflows for Snyk's AI Security Business Unit, while aligning technical solutions with business objectives and enabling teams with AI tools.

As a Solution Consultant, you will help Life Sciences companies implement Veeva's Vault Safety platform, driving innovation and streamlining pharmacovigilance processes.

As a Solution Consultant, you will bridge pharmacovigilance challenges with Veeva's solutions, showcase value, build relationships, and innovate processes in the Life Sciences industry.

The Principal Research Scientist will lead research on resilient AI, manage projects, publish findings, secure grants, and supervise staff and students.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

The Senior Product Manager will drive AI Customer Agent strategies, oversee product lifecycle, and collaborate with cross-functional teams to enhance user experiences.

As a Senior AI Engineer at Klaviyo, you will design and build scalable backend systems and AI solutions, collaborating with product managers and engineers to enhance AI technologies for optimizing customer experiences.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

Lead the development of AI systems, collaborating with cross-functional teams to create AI-powered products and optimize AI technologies for performance and scalability.

The role requires oversight of the product lifecycle for an AI-powered security platform. Responsibilities include strategy, customer engagement, and collaboration across teams to deliver features and value-driven market solutions.

The role involves shaping and optimizing GTM strategies, enhancing SDR effectiveness, utilizing AI solutions, and conducting data analysis to support growth initiatives at Datadog.

The Global AI-Enhanced Quality Manager will lead the QA strategy, modernize practices using AI, and ensure high standards for consumer experiences internationally.

The Senior Software Engineer will design and implement high-performance C++ code for AI models on embedded camera systems, optimizing for performance and real-time analysis.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

The role involves teaching, strategic leadership, and administrative oversight for the MS in Health Informatics Program, ensuring curriculum relevance and program success across multiple campuses.

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

The role involves owning the product strategy and roadmap for Advisor360°'s data fabric, managing data governance, and ensuring operational health of data science and ML models. The candidate will lead cross-functional collaboration, drive product adoption, and maintain oversight of data product quality and performance.

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 Product Manager II, Agent Development at WHOOP will design and improve AI agents for health coaching, collaborate with various teams, and ensure effective communication and user understanding across platforms.