Top Senior Machine Learning Engineer Jobs in Boston, MA

As a Senior Machine Learning Engineer, you will design and implement ML systems across various sectors, lead technical discussions, and collaborate with data scientists to drive innovative solutions.

Develop and deploy machine learning models for biomolecule design, focusing on MLOps practices. Collaborate with cross-functional teams and manage data pipelines.

As a Machine Learning Technical Lead, you will develop AI solutions, lead a team, and create impactful machine learning models while aligning with business goals.

Develop and implement machine learning algorithms, analyze datasets, and mentor team members while collaborating with product managers to refine predictions.

As a Senior Data Engineer, you'll build robust data pipelines and optimize data models for AI/ML uses, ensuring data quality and compliance while collaborating with other teams for scalable infrastructure.

The role involves building and maintaining an ML platform for training and deploying ML models, enhancing their performance and reliability.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

Develop LLM solutions, optimize ML pipelines, mentor teams, present at conferences, and collaborate with internal teams to shape ML initiatives.

Lead the development of advanced AI/ML models in life sciences. Oversee AI/ML project timelines, budgets, and team performance while collaborating with stakeholders and experts to deliver high-quality solutions.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

The role involves developing ML pipelines for sparse, high-dimensional biological data, optimizing models for deployment, and implementing MLOps best practices.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

Join the Hugging Face Special Ops team to bridge AI models with hardware, design user-friendly APIs, and enhance performance and deployment efficiency.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.