Top Senior Machine Learning Jobs

The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

Lead design, build, and deployment of scalable ML/AI models (including image/vision) to production. Collaborate with engineering and business teams, monitor model quality and bias, and apply data-driven solutions to predict and aggregate risk.

Lead development and deployment of advanced AI/ML models for sustainability and energy transition projects. Collaborate with domain experts to define AI-ready problems, manage end-to-end data and modeling pipelines, integrate solutions into digital twins and operations, mentor team members, publish and patent findings, and drive internal and external collaborative research while maintaining lab safety.

Oversee strategic development and execution of analytics and machine learning initiatives. Mentor teams, manage projects, enforce data governance, and collaborate cross-functionally.

Lead the Performance ML squad, managing and mentoring engineers while driving the development, deployment, and strategy of predictive models for advertising.

Designs, develops, and deploys machine learning models and scalable data pipelines in production. Performs data discovery, quality analysis, model monitoring, and optimization. Collaborates with data science and business stakeholders to translate requirements, document features, and implement SDLC best practices to drive automated, scalable AI solutions.

As a Lead Research Scientist in Machine Learning, you will develop AI/ML algorithms, lead teams, work on innovative problems, and communicate technical insights.

The Senior AI ML Engineer will develop AI systems, ensure model quality, lead architecture governance, and manage observability for healthcare solutions.

The Staff AI/ML Engineer will advance machine learning for autonomous driving by researching and prototyping techniques, collaborating with teams, and publishing findings.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

The Lead Machine Learning Engineer will design and develop scalable AI solutions, perform research on ML algorithms, and oversee model training, ensuring optimal performance and integration.

As a Senior Machine Learning Engineer in Personalization, you'll design and implement LLM-based solutions enhancing user listening experiences, collaborating across product and data science teams to build scalable ML systems.

Lead a team of machine learning scientists to develop models and systems for fraud prevention in the online travel industry, enhancing security and innovation.

Design, prototype, and deploy machine learning models and pipelines to detect environmental changes for Lyft's map. Collaborate with engineers, data scientists, and product teams to analyze data, build POCs, write production-quality code, and evaluate ML systems against business goals.

The role involves building and deploying ML-driven data products for law enforcement, ensuring production-ready systems and managing data pipelines.

As a Machine Learning Engineer, you'll define, measure, and improve integrity signals using machine learning methods while innovating new signal frameworks to combat fraud, ensuring real users rely on your solutions.

Design and develop machine learning solutions, build ML pipelines, apply NLP and deep learning techniques, ensure model reliability, and mentor junior engineers.

Lead and implement AI/ML platform solutions to enhance patient care by developing scalable systems, mentoring engineers, collaborating with cross-functional teams, and leveraging emerging technologies.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Lead a team of applied researchers, data scientists, and analysts to develop and deploy machine learning models for fraud detection and compliance. Drive business impact through data-driven solutions while ensuring model performance and collaboration across functions.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.

Lead the development of ML models and prototypes for Edge AI/ML, integrate with mixed-signal systems, and optimize deployment. Collaborate with cross-functional teams and mentor engineers while exploring new ML trends and applications.