Top Machine Learning Jobs

Lead a multidisciplinary team of analytics engineers, data scientists, and machine learning engineers to develop and automate content launch processes while collaborating with cross-functional teams.

Develop applications for machine learning and generative AI technologies, automate data analysis, and collaborate on prototyping solutions for semiconductor testing.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

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

The Machine Learning Engineer will lead compliance efforts, review data sets, create databases, perform gap analyses, and evaluate existing AI systems, requiring collaboration with various stakeholders.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

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

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

As a Machine Learning Engineer, you will design and deploy models, collaborate with teams to solve business challenges, optimize performance, and maintain model effectiveness.

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

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.

As the Area Technical Lead, you will architect and improve the ML data strategy for autonomous driving, enhancing the data-driven self-improvement process for the Waymo Driver.

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.

The intern will research advancements in ML systems, model performance for Lightmatter systems, and collaborate on design for reference platforms, aiming for academic publication.

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

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.

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

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

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.

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

The Senior AI Scientist will lead ML/AI innovation for multimodal video models, develop production-grade ML models, and engage in research and representation at conferences.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

Develop and optimize predictive models for credit and risk, leveraging advanced machine learning techniques to improve accuracy and decision quality.