Top Machine Learning Jobs

As a Senior Machine Learning Engineer, you will design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

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 role involves designing and implementing machine learning applications, managing teams, ensuring performance, and optimizing ML systems using cloud technologies and best practices.

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

Develop machine learning features for autonomous vehicles, evaluate ML methods, and lead experiments while collaborating with multi-functional teams.

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

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Collaborate with multidisciplinary teams to develop and implement machine learning solutions for complex national defense problems, using advanced data analysis techniques.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

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.

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

Research Engineer will develop and optimize machine learning algorithms for defense applications, focusing on edge devices and enhancing autonomy for military systems.

As a Research Engineer in Machine Learning at Anduril, you will optimize ML algorithms for edge devices, prototype LLM-based systems, and benchmark models while collaborating across business lines to identify new research problems.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

Design and implement AI/ML models to analyze geospatial data for defense applications, enhancing predictive intelligence and operational strategies.

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.

The Principal ML Engineer will develop advanced machine learning systems, mentor junior engineers, and collaborate with cross-functional teams to optimize business solutions in Merchandising and Supply Chain.

Lead the development and deployment of AI and machine learning models, mentor junior data scientists, and collaborate with cross-functional teams to align solutions with business goals.

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

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

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