Top Computer Vision Jobs in Boston, MA

Lead the development and deployment of software solutions for AI, ML, and data management within the US National Security Ecosystem, ensuring program execution and technical oversight.

The Mechanical Engineering Technician will oversee the machine and assembly shop, assist in prototyping parts, create fixtures, and ensure shop organization and maintenance.

The AI Security Consultant will enhance security programs, secure AI systems, engage in technical analysis, and report findings. They will also contribute to thought leadership while ensuring high-quality service delivery.

The Sr. Registration Specialist manages registration systems and workflows for events, ensuring efficiency and data accuracy while collaborating with various teams.

The Sales Engineer will articulate security solutions, work in fast-paced environments, collaborate with teams, and present complex security concepts to varied audiences.

The Strategic Sourcing Specialist will manage supplier relationships, drive sourcing initiatives, negotiate contracts, and collaborate across departments to improve product delivery and efficiency.

The Senior Manager, CX Strategy & Operations will lead strategic initiatives and optimize processes to enhance customer experience and operational efficiency.

The Training Operations Manager ensures customer readiness and operational efficiency in the training process by managing capacity, forecasting demand, and leading a team of Training Coordinators to drive activation goals.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

This role involves providing technical support for complex issues, collaborating with teams, and documenting resolutions to ensure customer satisfaction.

Partner with CV researchers to productionize models, optimize training and real-time inference performance, design reusable abstractions, and collaborate with MLOps/backend teams to evolve the CV inference platform for scale and reliability.

The Engineering Manager will lead the team for Runway's product platform and API, focusing on performance and strategy while managing engineering teams, coordinating with product management, and ensuring data integrity.

Lead early-stage product experimentation and prototype spatial, 3D, and AI-driven experiences. Translate ML/CV capabilities into testable products, partner with engineering on execution, shape strategy across the portfolio, and communicate outcomes to stakeholders.

The Geospatial Solutions Architect will design and implement geospatial data visualization solutions, develop operational dashboards, and oversee the integration of geospatial AI/ML models for a DoD customer.

Support NVIDIA networking technologies like Infiniband and NVLINK, collaborate with customers on technical challenges, and develop new features in AI and HPC clusters.

Lead physical design and implementation of SOC devices, focusing on methodologies, automation, and chip development processes including timing closure and verification.

The Senior Formal Verification Engineer will verify ASICs using formal verification methods, ensuring correctness and collaborating with architects and designers across projects.