Top Machine Learning Jobs

The role involves developing and implementing AI solutions using Python, collaborating with stakeholders, and leveraging ML techniques to enhance decision-making and process transformation.

Develop and implement machine learning models to identify and prevent abusive behavior and strengthen account integrity within Cash App's Families product.

The role involves developing machine learning models to prevent risky activities, collaborating with various teams, and researching emerging risks in financial activities.

Develop machine learning models to identify and prevent risky financial activities in Cash App, collaborating with engineering and product teams while mentoring fellow modellers.

The Machine Learning Engineer will develop models to identify and prevent risky behavior in financial activities for families. Responsibilities include collaborating with teams, researching risks, and mentoring other modellers.

Develop machine learning models to identify risky behaviors and ensure safe financial experiences for teens using Cash App. Collaborate cross-functionally to enhance model deployment and understanding of customer risks.

Develop machine learning models to detect and prevent risky activity across Cash App, collaborating with cross-functional teams and shaping policies.

As a Senior Staff Machine Learning Engineer, you will design and implement AI infrastructure, collaborate on GPU performance, and mentor colleagues.

Design and deploy AI/ML solutions for healthcare, collaborating with teams to create scalable models and tools, ensuring robust data processing.

The Senior Machine Learning Engineer will develop and optimize voice-centric AI systems, manage ML lifecycle, and ensure high-quality conversational experiences in production environments.

In this role, you will design and deploy machine learning models for fraud prevention, lead technical strategy, and collaborate across teams to enhance digital payment security.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

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.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

As a Senior AI/ML Engineer, you will design and deploy advanced machine learning models for autonomous vehicles, collaborate with teams, mentor engineers, and drive innovation in onboard ML systems.

The Principal AI/ML Software Engineer drives ML technology strategy and innovation, develops solutions for complex problems, and leads cross-functional initiatives while shaping the technical vision and architectural frameworks for AI/ML.

As a Principal AI/ML Software Engineer, you'll lead ML technology strategy, develop innovative solutions, and influence technical decisions across the organization while guiding high-performing teams.

As a Senior AI Engineer, you'll develop and implement AI solutions for the federal government, collaborating with teams to address customer problems using machine learning techniques.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

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.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.