Top Hybrid Machine Learning Jobs

As a Staff Machine Learning Engineer, you'll guide AI initiatives at GM, evaluate AI solutions for manufacturing, and translate research into scalable systems.

The role entails driving innovation in machine learning solutions, developing production code, and influencing project design decisions while serving as a subject matter expert.

Lead the development of machine learning models and solutions, ensuring high-quality code and architecture while providing technical guidance and strategic recommendations.

As a Senior Applied AI/ML Associate, you'll design AI solutions, analyze data, and enhance client interactions through ML techniques, while collaborating with teams to implement models.

Lead the design and development of Datadog's experimentation engine, translating complex statistical methods into production systems while collaborating with cross-functional teams and educating stakeholders on best practices.

The Machine Learning Engineer II will build foundational LLM tooling, develop AI capabilities, ensure platform scalability, and collaborate with feature teams to enhance AI development.

The role involves data model building, interactive data visualization, machine learning model design, and quantitative methods application to enhance investment processes.

The role involves partnering with cross-functional teams to build and deploy machine learning models, leveraging technologies like Python and AWS to analyze large datasets for improved decision-making.

Lead ML model development from conceptualization to deployment, mentor engineers, and influence architectural decisions to enhance Chewy's marketing and product offerings.

The Senior Director will lead teams in developing and evaluating machine learning models, focusing on innovation and collaboration across functions to enhance AI capabilities.

Design and maintain ML pipelines and data pipelines, optimize fraud detection models, collaborate with teams, and ensure data quality for high-scale applications.

The Decision Scientist II will develop machine learning models to enhance delivery processes, collaborating with cross-functional teams to optimize performance metrics and drive business solutions.