Top Senior Machine Learning Jobs

Lead and grow high-performing machine learning teams, define strategies, oversee projects, and integrate AI/ML into products while mentoring team members.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Senior Machine Learning Engineer will enhance search relevance in an AI-driven platform, focusing on ranking features, metrics, and collaboration with cross-functional teams to improve answer quality.

The Machine Learning Engineer Senior will design and develop ML algorithms to enhance analytics and decision-making, optimizing model performance, and ensuring reliability and data quality.

The role involves developing machine learning models for sponsored ads, improving selection and ranking, and collaborating with product teams to optimize advertising solutions.

The Senior Machine Learning Engineer at Chewy will develop and deploy ML models for sponsored ads, collaborating across teams to optimize advertising strategies. Responsibilities include model ideation, experimentation, and mentoring junior scientists while communicating insights to leadership.

As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

The role involves designing and deploying machine learning systems for a search platform, focusing on ranking and retrieval while collaborating with cross-functional teams.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Develop and maintain ML solutions for AR/VR/MR products. Translate sensor capabilities into robust ML models, impacting defense technology.

The role involves deploying ML models for ads, collaborating with teams to enhance solutions, and mentoring junior scientists, requiring advanced technical and communication skills.

The Research Engineer will develop and benchmark ML algorithms, optimize transformer architectures for edge devices, and collaborate on research projects across teams.

Build and maintain AI-powered, time-aware forecasting and pattern-discovery models for front-office rates trading. Apply statistical learning and time series techniques, productionize ML/AI models, and collaborate with trading, risk, and governance teams to integrate predictive intelligence into business processes.

As a Principal Quantitative Modeler, you will develop econometric and machine learning models for credit risk management, providing insights and solutions across Capital One's business. Responsibilities include partnering with different teams, applying quantitative methods, and delivering clear communication and documentation of modeling processes.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

As a Staff Machine Learning Engineer, you'll lead the Content Ranking team in enhancing machine learning models for video recommendations, ensuring scalability, performance, and technical direction across teams.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

The Director of Data & AI will lead strategies for data engineering, machine learning, and AI integration to enhance operations and automation for rocket manufacturing and launches.

The Senior Engineer will plan and coordinate machine learning work for product engineering, providing technical leadership and consulting across teams while optimizing engine and aftertreatment systems.

The Machine Learning Lead will manage technology strategy for AI training data, develop models, optimize pipelines, ensure dataset quality, collaborate cross-functionally, and mentor engineers.

Lead the design, development, and deployment of machine learning applications, focusing on optimizing ML models and systems in a collaborative Agile environment.

Lead the design and development of real-time machine learning personalization architecture, focusing on user experience and dynamic content discovery.