Top Machine Learning Jobs

Lead a team of data scientists to develop and integrate advanced machine learning models for clinical trial execution, improving trial efficiency and patient recruitment.

The Research Engineer/Scientist will advance decision-making in critical industries using optimization and machine learning, collaborating with product managers and engineers.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Lead a team of data scientists and ML engineers to build forecasting systems that drive data-driven decision-making for business metrics like revenue and user growth.

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

The role involves building fraud prediction models using machine learning techniques, collaborating with cross-functional teams, ensuring data integrity, and driving a data-driven culture.

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.

Drive the strategic vision for machine learning initiatives, lead development of ML models, oversee data analysis, deploy ML solutions, and mentor junior staff.

Interns will develop AI technologies for robotics, contribute to learning algorithms, simulations, data collection, and stay updated on trends in machine learning and robotics.

The Machine Learning Scientist will develop AI-based solutions to manage risks, collaborating with various teams while optimizing ML processes and mentoring peers.

Chloris Geospatial seeks experienced individuals with diverse skills in areas such as forest carbon, remote sensing, machine learning, and software engineering, to support their mission of fostering a sustainable economy.

Lead a machine learning engineering team to develop data-driven solutions for programmatic advertising, focusing on algorithms for bidding and ad optimization while collaborating across teams.

The role involves enhancing developer tools for GM's AV engineers, addressing pain points, and mentoring team members to improve productivity and maintain quality code efficiency.

As a Senior Machine Learning Data Engineer, you will analyze data, develop predictive models, manage data infrastructure, and collaborate across teams to enhance autonomous vehicle systems.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.

Develop and implement AI/ML solutions for healthcare claims processing, collaborating with data scientists to enhance system capabilities and automation.

The Senior Machine Learning Engineer will design, deploy, and validate ML systems, mentor teams, and integrate models into infrastructure while driving improvements through experimentation.

Join Phonic as a Machine Learning Research Engineer to develop scalable infrastructure for training and deploying audio models, focusing on performance and reliability.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Develop and optimize machine learning models, preprocess datasets, collaborate on model deployment, conduct tests, and stay updated on advancements.

Lead a team of ML engineers in developing advanced personalization systems. Balance technical leadership with hands-on model development, focusing on system architecture and improvements.

This role leads the development of machine learning platforms, overseeing teams to deliver scalable data solutions and recommendation systems for consumer marketplaces, aligning with business goals.

As a Machine Learning Intern, you'll work on building and evaluating ML models using large datasets, explore advanced ML methods, and collaborate on real-world applications in digital dentistry.

Design, develop and implement machine learning models. Collaborate with teams to enhance services, build scalable pipelines, and ensure data quality.