Top Hybrid Machine Learning Engineer Jobs in Boston, MA

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 Senior Computational Chemist will lead cheminformatics efforts, design data pipelines, apply machine learning models to drug discovery, and collaborate across teams.

Lead WHOOP's strategy for transforming sensor data into real-time intelligence, managing teams, delivering features, and driving technical direction in machine learning and embedded systems.

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.

The role entails managing an Agile team focused on design, development, and implementation of scalable machine learning applications while ensuring architecture performance and model governance.

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.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Senior Machine Learning Engineer, you'll build and deploy AI/ML models, design workflows, and drive product development in a startup focused on the collectibles industry.

As a Machine Learning Developer, you will develop and refine machine learning models for process optimization, working closely with data scientists, designing experiments, and ensuring model reliability.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.