Top Machine Learning Engineer Jobs in Boston, MA

As a Machine Learning Engineer, develop scalable data pipelines, analyze large datasets, optimize ML models, and collaborate on AI tools for the AEC industry.

Lead the development of machine learning solutions to personalize user experiences and enhance customer retention for the Sportsbook product, mentoring junior engineers and collaborating cross-functionally to deliver impactful ML projects.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Senior Machine Learning Engineer will architect advanced agent-driven ML systems, oversee development and deployment, and ensure cross-team collaboration. Responsibilities include automation, system monitoring, and compliance oversight.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Develop and enhance a centralized platform for Search & Recommendations, collaborating across teams, and building secure scalable systems using AI/ML solutions.

Seeking a Principal Machine Learning Engineer to lead AI/ML product development. Responsibilities include data preprocessing, model training, team collaboration, and mentoring.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

The Machine Learning Engineer will lead model development, apply NLP techniques, deploy models, and collaborate across teams to create impactful solutions.

Design, build, and maintain distributed training infrastructure for Ads ML models, while collaborating with ML engineers to optimize training processes.

Lead the design and implementation of scalable machine learning applications, collaborating with cross-functional teams, while ensuring code quality and monitoring ML models in production.

As a Lead/Senior Machine Learning Engineer, you'll develop AI/ML solutions, collaborate across teams, and drive data-driven strategies to enhance product development and customer value.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

The role involves designing machine learning models, conducting experiments, maintaining ML infrastructure, and communicating results to stakeholders.

Develop and deploy advanced AI technologies for real estate, mentor engineers, drive innovation, and ensure successful AI agent interactions.

The Senior Machine Learning Engineer will develop scalable and resilient systems to optimize ML models, improve workflows, and apply best engineering practices for large datasets.

As a Senior Machine Learning Engineer, you will develop ML and generative AI solutions, design ML systems, and lead AI initiatives, collaborating with various teams to enhance physical operations.

As a Machine Learning Engineer, you will lead end-to-end ML projects, integrate solutions, and collaborate with cross-functional teams to drive data science solutions that align with business objectives.

Join Securly's Remote Talent Community as an AI/ML Engineer to be considered for future roles focused on building models for student wellness using AI.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

As a Staff ML Engineer, you will develop and deploy machine translation models, collaborating across teams to enhance Airbnb's translation capabilities and improve global guest experiences.

Lead teams in advanced AI/ML projects, focusing on generative models. Collaborate cross-functionally to deliver innovative AI solutions and evaluate technologies for product integration.

The Staff Machine Learning Engineer will lead machine learning initiatives, design and deploy models, mentor ML engineers, and drive business growth through data-driven solutions.

As a Senior Generative AI Engineer, you will lead the development of models for synthetic data generation and enhance the safety and capability of autonomous driving solutions at Zoox.

Lead cross-team engineering efforts to enhance ML-driven search relevance, mentor engineers, and develop foundational and relevant signals for search.