Top Machine Learning Jobs

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.

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.

Lead the vision, strategy, and execution of the machine learning platform at Flex, focusing on compliance, customer success, and internal operations. Build and mentor a team of ML engineers and data scientists to deliver scalable ML systems.

The role involves applying cutting-edge research in machine learning and deep learning to improve ad performance through various methodologies including modeling, optimization, and experimentation.

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 intern will design and train models using machine learning to investigate molecular functions and enhance molecular design. They will analyze experimental datasets and produce insights connecting model behavior to biological outcomes.

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 Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Develop and scale machine learning systems for physiological signal processing. Design and train models, ensure compliance, and mentor team members while collaborating with cross-functional teams.

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

Conduct research and develop machine learning models for financial contexts, focusing on LLMs and deep learning applications. Collaborate to integrate solutions into trading strategies.

As a Machine Learning Engineer, you will design algorithms, maintain data pipelines, collaborate on software deployment, and ensure the scalability of ML systems.

Conduct research and develop machine learning models for finance, focusing on deep learning and large language models, optimizing them for performance, and collaborating with teams to integrate ML solutions.

As a Machine Learning Engineer, you will design and optimize algorithms, manage ML data pipelines, and ensure system scalability while collaborating with teams to enhance software deployment.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The intern will work on projects involving revenue optimization and risk mitigation for solar and storage projects, utilizing machine learning and optimization techniques.

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

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

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

Intern will work on ML model experimentation and integration for improving perception systems, focusing on real-world application and collaboration.

The Head of Venmo AI Personalization will define and drive the strategic vision for machine learning at Venmo, overseeing model development and optimizing user personalization and ranking systems while mentoring a world-class team.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

The Software Intern at Cadence will work on research and development using machine learning technologies for on-chip parasitic modeling in a team environment.