Top Machine Learning Jobs

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

As a Machine Learning Software Engineer, you will architect ML pipelines, collaborate cross-functionally, optimize systems, and mentor team members in Netflix's Promo Media and Marketing workflows.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

As a Machine Learning Engineer, you'll design and deploy large-scale models for advertising and commerce systems, optimizing for performance and relevance while maintaining ML pipelines.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

The Principal Machine Learning Engineer leads the design and development of advanced ML models, overseeing their lifecycle and collaborating with teams to optimize performance and ensure regulatory compliance.

The Senior Machine Learning Scientist will lead R&D in AI applications, focusing on LLM, CV, and GenAI technologies, collaborating with teams to develop and optimize innovative models and algorithms.

The Senior Machine Learning Scientist will develop LLM and CV models, mentor junior scientists, and advance AI technologies applicable to law enforcement.

The Machine Learning Engineer will collaborate on AI projects, develop algorithms, optimize solutions, and maintain coding standards within Kitware, contributing to various machine learning tasks.

Collaborate on machine learning projects, perform prototyping, validate algorithms, and troubleshoot code for robustness in AI and computer vision.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

Join Capsule as an AI Engineer to develop ML models for video editing. Responsibilities include researching ML techniques, collaborating on feature development, and optimizing model performance.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The Senior Machine Learning Engineer will design and deploy ML solutions for recommendations, manage the ML lifecycle, and collaborate with teams to enhance ML engineering practices.

As a Senior Machine Learning Engineer, you'll develop and productionize ML models, design data pipelines, and ensure the scalability of features for over 200 million users, collaborating with various teams to enhance user experience.

Interns will identify performance bottlenecks in ML models, improve developer experience, and optimize deep learning techniques for Waymo's ML systems.

The AI/ML Intern will support R&D in AI/ML methods, prototype applications, conduct experiments, and document findings in a collaborative team environment.

The AI/ML Engineer will develop matchmaking and recommendation systems, scaling them for millions of users while leading a small technical team.

As a Machine Learning Engineer, you'll build and optimize ML systems for music promotion, ensuring they are efficient and scalable while collaborating with cross-functional teams.

As a Machine Learning Engineer, you will design and build AI capabilities, develop scalable ML infrastructure, and collaborate on production systems in the real estate domain.

The Machine Learning Engineer designs, builds, deploys, and maintains machine learning models, optimizing their performance for business value. Responsibilities include managing ML pipelines and collaborating with data teams to implement MLOps best practices.

The Principal Machine Learning Engineer will design and implement autonomous AI systems, optimize large-scale services, mentor engineers, and collaborate with various teams to develop AI solutions.

Design and develop retrieval systems for AI workflows at Zoom, involving machine learning, information retrieval, and multi-tenant architecture. Collaborate with teams to enhance AI capabilities across enterprise data sources.

Develop and maintain AI software applications, architect scalable ML models, and optimize data pipelines while collaborating with cross-functional teams.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.