Top Machine Learning Jobs

As a Senior Applied AI Engineer, you will develop and deploy machine learning models, improve system performance, and drive AI initiatives at Databricks.

The role involves applying advanced machine learning techniques to solve perception, prediction, and planning problems in autonomous systems, while also providing leadership and deploying solutions to public roads.

Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

The Principal AI/ML Engineer leads complex model development, optimizes data pipelines, engages stakeholders, and serves as a subject matter expert for machine learning initiatives.

As an Aviation AI/ML Engineer, you'll develop and maintain machine learning solutions to enhance aviation safety, collaborating across teams to implement robust ML strategies.

Develop core AI technologies for robotics, focusing on advanced learning algorithms, simulations, data collection, and staying updated on ML and robotics advancements.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

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

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

Design, train, and deploy machine learning models for detecting malicious content, working with large datasets and collaborating with teams to enhance system scalability.

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

The Machine Learning Intern will contribute to ML research, advancing methodologies in protein modeling while collaborating with cross-functional teams on a summer project under mentorship.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

The role involves developing advanced ML models for scene understanding and managing the end-to-end ML pipeline from data gathering to deployment.

As a Machine Learning Engineer, you will design and deploy advanced models for clinical reasoning, manage ML systems, and collaborate with teams to enhance healthcare delivery.

Develop and deploy machine learning models for national security challenges. Responsibilities include algorithm development, model training, deployment, and collaboration with teams for effective ML solutions.

As a Senior Machine Learning Engineer, you will design and enhance the AI evaluation platform, focusing on data pipelines and model benchmarking systems, collaborating closely with team members.

The Machine Learning Engineer role at Patreon involves developing machine learning models, analyzing data, collaborating across teams, and deploying solutions to enhance creator support.

As an AI/ML Engineer Intern, you will apply AI to enhance restaurant discovery experiences by analyzing data, building models, and collaborating with teams.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

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.