Top Machine Learning Jobs

As a Machine Learning Systems Engineer, you will build and scale AI infrastructure, leading projects and mentoring junior engineers, while focusing on the ML project lifecycle and system architecture.

Develops and implements machine learning methodologies, manages cloud applications, and develops backend components to improve system performance. Responsible for documentation and testing phases.

Develop electrical system ontology for data centers, deploy advanced anomaly detection using machine learning, monitor telemetry, and collaborate with teams to enhance reliability.

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.

This role involves developing AI/ML applications, collaborating with teams, managing projects, innovating solutions, and mentoring peers while maintaining data quality and technical expertise.

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.

Machine Learning Engineers at Tennr will architect, train, deploy models, optimize data pipelines, integrate ML into backend systems, and collaborate with teams for product evaluation.

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.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

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 Applied Scientist will design and implement machine learning models, collaborate across teams, improve model performance, and contribute to internal research initiatives.

Lead the development of machine learning models for advertising products, optimizing strategies and driving business-critical outcomes.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The Machine Learning Manager will lead a team of engineers, drive project delivery, provide technical guidance, and foster a culture of innovation and experimentation in AI.

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

Interns will design and implement ML models, develop RAG pipelines, integrate AI solutions with Azure, and research solutions.

This role leads data-driven decision-making using machine learning and predictive modeling, manages small projects, and collaborates with teams to enhance business results.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

The role involves designing and training machine learning models for drug discovery, mentoring team members, and engaging with the research community.

As a Senior Machine Learning Engineer, you will develop and deploy ML models, advocate for responsible AI, mentor colleagues, and integrate solutions into clinical workflows.

The Staff Machine Learning Engineer will lead ML model development, deployment, and optimization, mentoring team members while collaborating with cross-functional teams to enhance business strategies.

As a Senior Machine Learning Engineer, lead the full ML lifecycle, develop and deploy scalable ML models, mentor a team, and collaborate cross-functionally to enhance customer insights and drive business growth.

As a Senior Machine Learning Engineer, you'll develop state-of-the-art machine learning solutions for Realtor.com's products, mentor a team, and collaborate cross-functionally to drive AI-driven solutions.

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.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.