Top Machine Learning Engineer Jobs

As a Principal Machine Learning Engineer at Zscaler, you will lead AI/ML projects, optimize systems, and collaborate on cybersecurity solutions while mentoring engineers.

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.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

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

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

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.

As a Machine Learning Engineer, you'll build and deploy models for core products, apply ML techniques to solve problems, and collaborate on features.

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.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

This role involves developing ML models for Hinge, collaborating with teams, deploying models, and optimizing systems for performance and cost.

The role involves designing ML models, research, improving ML capabilities, mentoring engineers, and managing data at scale utilizing cloud platforms.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.

As a Principal Machine Learning Engineer, you will develop and implement advanced ML algorithms, collaborate across teams, and mentor junior engineers, driving AI integration in Atlassian products.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead development of autonomous AI systems and multi-agent workflows. Design, implement, and ensure safe agentic solutions for enterprise services.

The role involves designing and building production systems for AI agents, implementing algorithms, mentoring engineers, and collaborating with experts on enhancing AI products.

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.

Lead the vision for generative recommendations at Snap, designing and building generative models to enhance content discovery, personalization, and user engagement, while driving innovation and technical initiatives in the enterprise.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead strategic AI and ML initiatives for Tidal by developing personalization systems and collaborating with cross-functional teams. Responsible for technical leadership and system architecture.

Join Freed as an ML Engineer to optimize speech recognition models and infrastructure. Contribute to AI solutions improving clinician satisfaction.