Top Senior Machine Learning Jobs

The role involves building and scaling infrastructure for machine learning, particularly focused on Large Language Models, while providing technical leadership and mentoring juniors.

Lead the development of ML models for personalization, ranking, and search experiences, while mentoring a team and collaborating with cross-functional partners.

The Sr. Machine Learning Engineer will analyze data, develop risk control strategies, prepare reports, and partner with teams for implementing risk strategies using ML tools.

This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

As a Senior Machine Learning Engineer, you will design, develop, and maintain distributed inference infrastructure for AI deployments, focusing on scalable systems and collaboration with various teams.

The AI/ML Software Engineer will design, implement, and maintain AI features, work with product teams, and keep abreast of industry trends.

As an AI/ML Software Engineer, you'll build and maintain ML models, develop backend services, and integrate AI features into products, working in a collaborative team environment.

As an AI/ML Software Engineer, you'll develop and maintain ML models, create backend API services, and collaborate with product teams to integrate AI features across Rocket Lawyer's platform.

Join Rocket Lawyer as an AI/ML Software Engineer to build and maintain ML models for AI features across our platform, collaborating with teams to enhance legal services.

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

As a Senior Machine Learning Engineer, you'll create ML models to combat fraud on Airbnb, collaborating across teams to enhance user safety and confidence.

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.

The Senior ML Engineer will design and build ML systems, optimize ML pipelines, implement RAG systems, collaborate with engineering teams, and contribute to ML infrastructure. Requires experience in shipping production ML systems and proficiency in modern ML tools.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

You will design and maintain models for understanding user behavior, improve ad ranking and conversion predictions, and collaborate on team direction.

The Applied AI/ML Engineer will design, implement, and scale models for urban simulations, collaborating with teams to ensure alignment with customer needs and product requirements.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

As a Staff Software Engineer on the Machine Learning team, you'll build scalable systems, integrate ML models, and oversee code quality and project mentorship.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.