Top Hybrid Machine Learning Engineer Jobs

The Research Engineer will optimize large-scale machine learning models, contribute to architecture and training, and collaborate with teams for kernel integration.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

As a Staff Research Scientist, you'll advance machine learning for autonomous driving, mentoring teams and publishing at top conferences while designing innovative algorithms.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Leading innovation and strategic development of machine learning technologies, driving product ideation, overseeing R&D programs, and mentoring teams for a major ad platforms provider.

Develop machine learning models for credit decisions in the card business, collaborating with teams to drive business impact and communicate results to management.

The role involves leading AI/ML initiatives, developing machine learning models, collaborating with various teams, and deploying solutions to solve business problems.

Lead multiple technology implementations and strategic initiatives within the Machine Learning and Intelligent Operations group, managing cross-functional teams and driving AI/ML projects while ensuring best practices and ethical standards are met.

As a Staff Machine Learning Engineer, you will design and implement infrastructure for AI workloads, collaborate on GPU cluster performance, and write scalable code while mentoring colleagues.

The Staff Machine Learning Engineer designs and implements infrastructure for AI workloads, collaborates with teams, mentors, and ensures code quality, focusing on machine learning and distributed systems.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

Lead the development of ML solutions to enhance user experience at Babylist. Build recommender systems and personalization features from scratch, collaborating with a cross-functional team.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure model performance at scale.

As a Machine Learning Engineer, you'll design, build, and deploy ML applications, collaborate with teams, and optimize models and data pipelines. You'll focus on both model development and ensuring high performance in production environments.

As a Senior Associate in the Financial Crime Unit, you will leverage SQL and Python to analyze complex datasets, applying machine learning and NLP to enhance detection of financial crimes while mentoring junior team members.