Top Machine Learning Jobs

As Director of Machine Learning Science at Expedia, you'll lead Content AI strategy, oversee AI innovation, and build a world-class team to enhance content generation and relevance across platforms.

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

The intern will utilize machine learning and statistics to extract patterns from data, implement algorithms, back-test models, and communicate findings effectively.

Lead the design and operation of analytical and machine-learning systems, define AI/ML strategy, and ensure model reliability and compliance in production.

Research and develop improvements to machine learning models, collaborate with research and product teams, and evaluate model performance.

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 Principal Machine Learning Infrastructure Researcher will design and model performance for ML systems using Lightmatter technology while leading a small team and publishing research findings.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

As an Entry-Level Solution Engineer, you will learn to design AI-driven solutions, support implementations, and develop customer engagement skills in a collaborative environment.

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.

Lead machine learning validation research in AV, developing metrics and tools for simulation-led validation of ML components and autonomous driving behavior.

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.

This senior AI/ML engineering role focuses on designing ML models, embedding creation, RAG pipeline development, and integrating AI solutions within enterprise applications. Collaboration with cross-functional teams and optimization of AI pipelines are key responsibilities.

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 production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.

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.

The Senior Staff Machine Learning Engineer will lead innovative AI engineering projects and optimize algorithms for e-commerce applications, collaborating across teams to drive significant business impact.

The role involves developing advanced AI solutions for e-commerce scenarios, designing algorithms, optimizing ML systems, and collaborating cross-functionally to drive innovations that enhance user experience.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.