Top Hybrid Machine Learning Engineer Jobs in Boston, MA

Lead Machine Learning Engineer responsible for designing and maintaining AI platforms, collaborating with teams, and ensuring best practices in AI/ML technologies and cloud infrastructure.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Sr. Distinguished Engineer at Capital One, you will lead AI/ML engineering teams, design and build ML applications, mentor engineers, and drive technology innovations in machine learning.

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 Principal Data Scientist will design and develop machine learning systems, manage data pipelines, and collaborate with teams to improve products and services. This role requires significant experience in ML model deployment and communication with stakeholders.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

Design, develop, and deploy machine learning models and AI features. Build and optimize ML pipelines for various use cases.

The Robotics Intern will develop machine learning models for robot manipulation, run experiments, create prototypes, and publish research. Experience in robotics and programming is required.