Top Senior Machine Learning Engineer Jobs in Boston, MA

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The role involves developing and optimizing intelligent agents using large language models, collaborating with the team, and solving technical problems.

The Senior Machine Learning Engineer at Red Hat will apply machine learning skills to enhance RHEL, lead coding projects, run experiments, and facilitate collaboration across teams.

As a Senior Machine Learning Engineer, you will write high-performance code, optimize inference algorithms, and mentor engineers, impacting the future of AI deployments.

Design and deploy machine learning models for autonomous vehicles, focusing on data tagging, dataset curation, and model validation.

The Senior Machine Learning Engineer will develop scalable ML systems, lead a team, mentor juniors, and work cross-functionally to enhance customer experience through machine learning solutions.

Lead the design, development, and implementation of machine learning products, creating data pipelines and maintaining production stability.

As a Senior Machine Learning Engineer, you'll design and implement deep learning models and robust infrastructures for clinical applications, particularly in computer vision for dental conditions.

The role involves designing and implementing advanced ML systems for therapeutic discovery, developing generative and transformer-based models, and collaborating with teams to derive insights from biological data.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Senior Machine Learning Engineer will develop advanced ML models, create LLM-based solutions, and collaborate cross-functionally within an agile team to enhance customer experience.

Develop and deploy ML models for personalization and optimization, analyze performance, and collaborate with product teams to enhance user experiences.

Design and implement deep learning models for 3D computer vision, develop ML pipelines, deploy and monitor models on cloud platforms, and document findings.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

The Senior Machine Learning Engineer will develop full-stack tools, collaborate on research, and build production ML systems, optimizing infrastructure for AI startups.

As a Senior Machine Learning Engineer, you will design, build, and deploy ML systems at scale, collaborating closely with teams to optimize ticket pricing, demand forecasting, and fraud detection while maintaining high standards in software development.

As a Sr. Machine Learning Engineer, you will develop and deploy ML models, enhance care personalization, and mentor teams while optimizing workflows.

Design and optimize ML models for AI-powered facial analysis, focusing on computer vision and generative models, ensuring accuracy and efficiency in a B2B SaaS environment.