Top Senior Machine Learning Engineer Jobs in Boston, MA

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Senior Machine Learning Engineer, you will develop machine learning solutions for sensor technology, optimizing object detection algorithms and enhancing image techniques to improve military capabilities.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The role involves developing and optimizing ML cloud infrastructure, ensuring scalable deployment of machine learning models, and collaborating with data science teams.

The Senior ML Platform Engineer will architect and maintain scalable ML infrastructure, develop MLOps platforms, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance AI deployment.

The role involves managing and optimizing AI code generation models, focusing on their deployment, performance at scale, and debugging inference frameworks. It requires fine-tuning models and experimenting with configurations to improve quality and throughput.

The Principal ML Engineer will lead the development of AI evaluation platforms, architect frameworks for evaluating LLMs, and collaborate across teams to ensure safe and ethical AI practices.

As a Senior Machine Learning Engineer, you'll design, train, and deploy AI systems, building robust pipelines, refining models, and leading technical discussions.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

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

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.

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

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.