Top Senior Machine Learning Engineer Jobs in Boston, MA

The Machine Learning Engineer will develop AI products by designing and deploying ML models, optimizing pipelines, and collaborating with teams.

Design and deploy scalable enterprise software solutions, manage cloud resources, optimize data-driven platforms, and integrate advanced ML models and workflows.

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will develop and maintain algorithms/services for multi-agent AI, deliver cloud-native architecture, and optimize ML models for performance.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

As a Senior Machine Learning Engineer, develop infrastructure for ML model deployment, collaborate with teams, and ensure model reliability and performance.

As a Senior Machine Learning Engineer, you will build and productionize ML models, develop scalable infrastructure, and mentor teams to optimize marketing products.

As a Senior Machine Learning Engineer, you will design and deploy object detection models, collaborate with teams, and enhance ML solutions.

The role involves designing, developing, and deploying ML models, collaborating with cross-functional teams, and improving model performance through testing and experimentation.

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

Develop and optimize deep learning models for trajectory generation in autonomous vehicles, focusing on planning, control, and real-time inference.

The role involves developing advanced multimodal customer experiences using AI, mentoring others, and refining AI processes for Zillow's platforms.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The role involves building ML infrastructure, creating data pipelines, ensuring data quality, and collaborating with data scientists to optimize models.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

The Senior Machine Learning Platform Engineer will enhance ML capabilities by optimizing streaming pipelines, mentoring junior engineers, and building tools for model performance analysis.

The Senior Machine Learning Engineer will personalize user experiences, build systems for model training, collaborate with cross-functional teams, and contribute to product strategy.

Lead the design and optimization of machine learning models for fraud detection in payment systems. Collaborate across teams and integrate AI components.

The Sr. Machine Learning Engineer will build tooling and services for ML and generative AI solutions, focusing on deployment, evaluation metrics, and cross-functional collaboration.

As a Machine Learning Engineer, you'll build scalable ML systems for personalized recommendations, collaborating with data scientists and cross-functional partners.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

As a Senior Machine Learning Engineer, you'll design and build AI systems, manage ML lifecycles, and create recommendation and retrieval systems while collaborating cross-functionally.