Top Artificial Intelligence Engineer Jobs in Boston, MA

Lead the evaluation, training, and integration of machine learning models. Optimize performance and ensure responsible deployment across product suite.

As a Senior Graphics Engineer, you'll create synthetic data for neural networks, focusing on mesh and texture generation and optimization using AI tools.

The role involves working on innovative AI-driven educational technologies, contributing to chatbots, and analyzing user behavior to enhance learning tools.

As a Software Engineer at mabl, you'll integrate AI into their platform, design scalable cloud infrastructure, develop AI-driven features, and enhance user experiences while collaborating with teams and directly impacting customers.

The Lead AI Engineer will design and deploy AI/ML solutions, optimize performance, mentor junior engineers, and ensure best practices in security and compliance.

As a Forward Deployed AI Engineer, you will collaborate with enterprise clients to modernize applications and implement AI tools. The role involves hands-on technical work and requires expertise in software engineering, AI concepts, and problem-solving skills.

As a Senior Software Engineer in the AI Foundations Team, you will develop AI infrastructure components and collaborate across teams to optimize drug development processes. Responsibilities include system performance, cloud architectures, and best practices in AI governance.

Lead the AI Foundations Team to architect AI platforms and governance frameworks, driving operational excellence and collaboration across teams.

The Senior AI Engineer will design, develop, and deploy AI applications, focusing on large language models and other innovative technologies, while collaborating with teams to integrate them into existing systems.

The Co-op role involves developing data products, solving complex problems, and working with Cloud technologies within the Business Intelligence team, while gaining leadership and technical skills.

Lead AI projects by developing and shipping AI-powered features to enhance customer workloads. Collaborate with teams to improve AI products and establish development best practices.

Lead the design and integration of novel optical systems, collaborating on prototypes and managing testing to transition products to production.

Design and maintain distributed systems infrastructure, including GPU clusters and network architectures. Implement monitoring and optimize storage solutions for AI/ML workloads.

The MLOps Engineer will design and implement ML infrastructure, manage ML model lifecycles, and collaborate with teams to automate ML workflows.

As a Senior Gen AI Software Engineer, you will architect AI solutions, develop intelligent agents, and optimize generative AI systems to enhance business functions like sales and customer success.

As an AI Integration Engineer, you will integrate AI models into Vetcove's products, enhancing functionalities and collaborating with teams for optimal performance.

The AI Developer will create and optimize conversational AI solutions, collaborating with teams to enhance user experiences and ensure integration with business needs.