Top Hybrid Machine Learning Engineer Jobs

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.

As a Senior Associate on the RMS team, you will develop AI models, mentor junior members, and ensure compliance with regulations while enhancing client relationships.

As a Senior Research Scientist, you will advance machine learning for autonomous driving, design algorithms, mentor, and publish at conferences.

As a Staff Research Scientist, you'll design advanced algorithms in machine learning, mentor others, and influence technical roadmaps for autonomous driving.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

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.

This role involves building machine learning models, collaborating with cross-functional teams, leveraging technologies to analyze large datasets, and translating complex analytical work into business insights.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.

The Sr Machine Learning Engineer designs and implements ML applications, focuses on architectural design, and collaborates with cross-functional teams. Responsibilities include model development, deployment, maintenance, and ensuring code quality and governance.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

As a Senior Machine Learning Engineer, you will build and optimize ML infrastructure for serving LLMs, collaborating with cross-functional teams to enhance AI capabilities.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.