Top Senior Machine Learning Jobs

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Lead the development of machine learning models for advertising products, optimizing strategies and driving business-critical outcomes.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The Machine Learning Manager will lead a team of engineers, drive project delivery, provide technical guidance, and foster a culture of innovation and experimentation in AI.

As a Senior Machine Learning Engineer, you will develop and deploy ML models, advocate for responsible AI, mentor colleagues, and integrate solutions into clinical workflows.

The Staff Machine Learning Engineer will lead ML model development, deployment, and optimization, mentoring team members while collaborating with cross-functional teams to enhance business strategies.

As a Senior Machine Learning Engineer, lead the full ML lifecycle, develop and deploy scalable ML models, mentor a team, and collaborate cross-functionally to enhance customer insights and drive business growth.

As a Senior Machine Learning Engineer, you'll develop state-of-the-art machine learning solutions for Realtor.com's products, mentor a team, and collaborate cross-functionally to drive AI-driven solutions.

The AI/ML Software Engineer will embed models into workflows, collaborating with teams to enhance AI applications and tools, focusing on automation and best practices.

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 design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

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 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 role involves designing and implementing machine learning applications, managing teams, ensuring performance, and optimizing ML systems using cloud technologies and best practices.

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

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

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Research Engineer will develop and optimize machine learning algorithms for defense applications, focusing on edge devices and enhancing autonomy for military systems.

As a Research Engineer in Machine Learning at Anduril, you will optimize ML algorithms for edge devices, prototype LLM-based systems, and benchmark models while collaborating across business lines to identify new research problems.

Design and implement AI/ML models to analyze geospatial data for defense applications, enhancing predictive intelligence and operational strategies.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.