Top Hybrid Machine Learning Engineer Jobs

The role involves designing and deploying ML models for domain search, including ranking and personalization, while collaborating with cross-functional teams.

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

Lead and mentor a team of data scientists and engineers in delivering personalized machine learning systems, aligning projects with business goals, and promoting best practices.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

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.

Lead a team of Data Scientists and Machine Learning Engineers to develop machine learning solutions, mentor staff, and align projects with business needs, focusing on customer care improvements.

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

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.

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.