Top AI Jobs in Boston, MA

The Head of Marketplace Automation & Growth will scale the insurance business, lead automation and strategy, and manage team performance to achieve growth objectives.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

The Data Scientist will collaborate with customers on analytics and ML implementations, improve product capabilities, and ensure customer success through technical expertise.

The role involves collaborating with customer analytics teams, improving product capabilities, refining algorithms, and ensuring long-term customer success through data science expertise.

As an AI Engineer II, you will design scalable backend systems, develop data processing pipelines for ML models, and enhance AI agents for marketing strategies.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

As a Senior AI Engineer, you will develop AI-powered products, optimize large scale production systems, and collaborate with cross-functional teams to enhance Capital One's offerings.

The Senior AI Engineer will design, develop, and support AI systems and solutions, partnering with teams to optimize models and improve customer interactions at Capital One.

The Applied Researcher II role involves partnering with teams to create AI-powered products, conducting research, and developing AI foundation models. Candidates should have a strong background in AI methodologies and experience with large-scale models.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

The Senior Lead AI Engineer will design, develop, and deploy AI systems, focusing on LLM customization and optimization while leading cross-functional teams.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

As a Senior AI Engineer, you'll develop AI software components, optimize performance of AI systems, and contribute to foundational AI technologies at Capital One.

Collaborate with cross-functional teams to develop AI products, conduct applied research, and innovate new AI capabilities to enhance customer experiences.

The Vice President will lead AI strategy, managing cross-functional teams to embed AI into operations, drive transformation, and ensure governance, while aligning initiatives with revenue goals.

The AI Platform Administrator will monitor, maintain, and optimize AI platforms, assist with deployment, provide user support, and document processes.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

The Principal AI and Automation Strategy Lead enhances statistical programming efficiency through AI solutions, collaborates cross-functionally, and drives innovation.

Lead embedded machine learning engineers to develop scalable algorithms for WHOOP wearable devices, optimizing performance and collaborating with cross-functional teams.

As an Android Engineer II, you'll design, build, and maintain scalable Android features, collaborate across teams, and write secure code to improve user experiences and health outcomes.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

The Product Manager will lead research on competitive metrics and AI impact, ensuring product strategy aligns with market needs and informing senior leaders.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.