Top Machine Learning Jobs in Boston, MA

As a Machine Learning Technical Lead at Klaviyo, you will build models extracting insights from data, develop AI engines for automated marketing, lead a team of AI professionals, and ensure product alignment with business goals using advanced AI techniques.

As a Senior Machine Learning Engineer at Capital One, you will design, build, and implement machine learning applications and systems at scale. You will collaborate with product and data science teams, automate tests and deployment, and monitor model performance and operation in production. Your role will encompass various ML engineering activities, including optimizing data pipelines and utilizing cloud-based architectures for efficient model deployment.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

As a Senior Machine Learning Engineer at Wasabi, you'll drive AI advancements, design and implement ML solutions including computer vision and NLP, and collaborate across teams to integrate machine learning capabilities. The role involves testing and debugging ML models to ensure quality and reliability.

The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.

The Senior ML Engineer will develop scalable machine learning platforms for marketing optimization. Responsibilities include collaborating across teams, designing ML systems, improving best practices, and driving business value through advanced analytics and insights from data. The role requires strong technical leadership and stakeholder management skills.