Top Hybrid Machine Learning Engineer Jobs

Lead a machine learning engineering team to develop ranking models. Manage project design, code reviews, collaborate with stakeholders, and ensure product scalability and quality.

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

As a Staff Machine Learning Engineer, you'll lead the Content Ranking team in enhancing machine learning models for video recommendations, ensuring scalability, performance, and technical direction across teams.

The Senior Lead Machine Learning Engineer will design and implement ML applications, optimize systems, collaborate with teams, and ensure model governance.

The role involves designing, building, and maintaining machine learning models and applications, collaborating with cross-functional teams, and ensuring high-performance ML systems.

The Senior Machine Learning Engineer will lead the development of scalable ML systems, mentor team members, and improve existing data infrastructures while collaborating with various stakeholders to execute strategic initiatives.

The Machine Learning Engineer will maintain and expand the ML platform, working on scalable systems, model serving, and collaborating closely with cross-functional teams.

As a Machine Learning Platform Engineer, you will partner with teams to establish data science environments, oversee analytic solutions, and lead complex projects while enhancing collaboration between technology and data science teams.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

The role involves designing and implementing ML systems for pricing, managing data pipelines, and improving model performance and reliability. It requires collaboration with cross-functional teams and mentorship for engineers.

As a Senior Research Scientist, you will develop and deploy machine learning models, focusing on pricing systems and integrating structured and unstructured data to improve decision-making.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

Assist in developing models and algorithms to solve complex business problems, analyzing datasets, and supporting decision-making initiatives.

Join Chewy's Sponsored Ads team as a Machine Learning Engineer Intern, applying advanced ML and deep learning techniques to improve advertising solutions. You'll work on model performance, deploy algorithms, and collaborate with leadership to enhance customer engagement and optimize campaigns.

Lead and develop advanced machine learning models for autonomous driving, collaborating with teams, and driving technical initiatives in a hybrid work environment.

As a Technical Lead, you'll design, develop, and deploy advanced ML models for autonomous driving, leading projects from conception to implementation while mentoring engineers and shaping ML strategies.