Top Machine Learning Jobs

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

The Machine Learning Engineer II will develop and maintain AI/ML systems, manage cloud operations, and collaborate across teams to deploy ML-powered tools.

Design and implement ML systems to model human-like driving behaviors, evaluate autonomous driving performance, and optimize software using AutoML techniques.

The role involves designing ML systems, developing evaluation methods for human-like driving behavior, optimizing software, and collaborating with cross-functional teams.

The Director of Machine Learning will lead the development of ML models for audio, vision, and language applications, mentor the team, ensure project milestones are met, and collaborate with different stakeholders.

This role involves designing, developing, and scaling machine learning systems for payment flows and recommendations, leading technical initiatives, and optimizing complex financial decision systems.

As a Machine Learning Engineer, you will design, build, and deploy scalable ML solutions, focusing on models that enhance user financial understanding while collaborating with various teams.

Lead the modeling strategy for ML Bots, developing predictive features, designing ML systems, mentoring engineers, and collaborating cross-discipline to enhance player experiences within games.

The Applied Scientist Intern will develop and deploy AI models, build ETL pipelines, and collaborate to enhance AI quality in legal tech.

The Staff Machine Learning Engineer will design, develop, and deploy scalable ML algorithms, lead experimentation, and collaborate across teams to enhance AI solutions.

This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

Develop machine learning solutions to predict future states and plan the Waymo Driver's behavior while collaborating with researchers and engineers.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

As a Machine Learning Engineer, you will build agentic systems for autonomous web navigation and complex task completion, integrating LLMs and reinforcing learning.

The Senior/Principal Machine Learning Engineer at Roblox will develop ML models, optimize architectures for deployment, and enhance performance across diverse computing devices.

As a Senior Machine Learning Engineer at Roblox, you will develop and implement ML models, optimize architecture for low compute costs, and enhance model performance across various devices.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

As a Senior Machine Learning Scientist, you will improve manufacturing processes by developing AI models, conducting experiments, and mentoring team members.

Develop technologies for optimizing AI models in autonomous driving. Collaborate on parallel algorithms and influence compute platform architecture.

Design and implement machine learning models and algorithms, collaborate with teams to enhance services, build scalable pipelines, and ensure data quality.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

The Machine Learning Engineer will build models to detect harmful behaviors, improve detection systems, analyze user reports, and collaborate with research teams to enhance safety mechanisms.

As a Machine Learning Engineer, you will architect and scale AI solutions, build APIs, and optimize data workflows while collaborating with stakeholders to ensure effective outcomes.

Lead the design and deployment of machine learning models for personalized healthcare, mentor engineers, and collaborate across teams to improve ML infrastructure.

Lead the architecture and development of machine learning systems for personalized care, treatment intelligence, and automation at scale. Collaborate with cross-functional teams and mentor engineers.