Machine Learning Jobs in Cambridge, MA

The Senior Software Engineer will design and implement high-performance C/C++ components for real-time sensor data processing and on-device ML execution, collaborating with teams to integrate models, drive architectural evolution, and maintain strict performance standards.

Lead AI/ML projects in early stage ventures, oversee method development and benchmarking, manage teams, influence strategies, and represent the company externally.

Lead multiple AI and ML projects in genomic research, overseeing method and platform development while managing cross-functional teams and driving innovative strategies.

The Senior Machine Learning Scientist will lead R&D in AI applications, focusing on LLM, CV, and GenAI technologies, collaborating with teams to develop and optimize innovative models and algorithms.

Develop advanced Vision-Language-Action models for robotaxis, leading data strategies and improving driving behaviors using machine learning infrastructure.

The role involves developing machine learning algorithms, optimizing LLM deployments, and managing deployment pipelines while mentoring team members.

The Senior Software Engineer will build scalable systems for ML model training and deployment, collaborating with researchers and engineers to improve workflows and ensure efficiency.

Develop and deploy machine learning models focused on driving behavior using sensor data, collaborating with teams on insights and solutions.

The Senior Machine Learning Engineer will design multi-modal vision systems, optimize and deploy models, mentor junior engineers, and improve data strategies for robotic perception tasks.

Develop and translate advanced ML models for heart disease diagnostics, collaborate with cross-functional teams, conduct research, and manage projects.