Top Machine Learning Jobs

As a Senior Machine Learning Engineer, you'll develop models for risk identification, collaborate cross-functionally, and deploy ML solutions, ensuring performance monitoring and continuous improvement.

The Senior Staff Machine Learning Engineer will develop machine learning models and optimization algorithms for Coupang's advertising platform, lead projects, and mentor junior developers while enhancing ad targeting and engagement.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

As a Machine Learning Engineer on the Mapping team, you'll build backend systems for map data, apply ML to generate maps, and enhance internal tools.

The Principal Applied Scientist will lead applied science projects to enhance pricing strategies, develop Machine Learning models, and mentor teams, ensuring alignment with business goals.

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.

The role involves designing ML systems for Search Ads, focusing on improving ad relevance and personalization with large language models and deep learning.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

Lead the development of machine learning models for ad bidding at Faire, optimizing performance and influencing marketplace strategy.

Design and deploy machine learning models to estimate weather conditions using camera, lidar, and radar data. Collaborate with teams to address weather-related needs and build evaluation systems for rapid deployment.

The Senior Machine Learning Architect will lead the design and implementation of scalable ML solutions, collaborating across teams to align with business goals.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

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.

The Senior Software Engineer will lead projects and develop AI/ML features using Python and Go, focusing on model services and APIs.

The Senior Software Engineer will lead projects in building AI/ML workflows, developing model services, and enhancing APIs, while collaborating across teams to drive technical excellence and operational success.

The Senior Lead Machine Learning Engineer will design and implement ML applications, optimize systems, collaborate with teams, and ensure model governance.

The Machine Learning Engineer will maintain and expand the ML platform, working on scalable systems, model serving, and collaborating closely with cross-functional teams.

The Senior Machine Learning Engineer will lead the development of scalable ML systems, mentor team members, and improve existing data infrastructures while collaborating with various stakeholders to execute strategic initiatives.

As a Machine Learning Engineer, you will design large-scale datasets, evaluate speech models, implement data generation techniques, and ensure model performance across multiple languages.

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

The Machine Learning Researcher will optimize and train LLMs, build distributed systems for training/inference, and advise on hardware architecture.

Research and apply advanced machine learning techniques to solve autonomy system problems, providing leadership and deploying solutions in real-world environments.

Lead and develop advanced machine learning models for autonomous driving, collaborating with teams, and driving technical initiatives in a hybrid work environment.

The Senior AI Scientist will develop innovative machine learning techniques for MRI, coordinating with teams and enhancing product capabilities through advanced model development and software maintenance.

The Machine Learning Engineer supports research, development, training, and evaluation of machine learning models, focusing on understanding model behavior and performance.