Top Machine Learning Engineer Jobs

The role involves designing robot learning algorithms, leveraging data for generalizable behaviors, and collaborating on consumer robot development. Responsibilities include end-to-end task management from definition to deployment.

Design, implement, and deploy machine learning models and systems for recommendations and related problems. Collaborate with engineers, data scientists, and product partners to analyze data, build proofs-of-concept, develop ML/optimization models, write production-quality code, and evaluate models against business goals.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The role involves optimizing ML model performance, focusing on low-level systems programming, CUDA, and efficient training and inference in a trading environment.

Develop ML-first behavior modules for predicting future motions of road users. Collaborate with perception and planning teams to enhance autonomous systems.

The Staff Software Engineer, AI/ML Focus will lead AI product development, ensure system reliability and security, and collaborate with cross-functional teams to innovate tools and products.

Design and implement distributed cloud GPU training for ML, build end-to-end pipelines, collaborate on data problems, and uphold ML best practices.

The ML Perception Software Engineer will develop perception modules for autonomous vehicles, focusing on machine learning and computer vision to enhance navigation capabilities.

Design and develop innovative features for Mirage, managing key software ownership, collaborating with teams to build scalable back-end systems and APIs.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.

The Data Science Platform Engineer will develop and enhance machine learning platforms, design data engineering solutions, and utilize advanced analysis techniques to improve text understanding and model training.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

Develop and optimize 3D rendering algorithms for sensor simulation using cutting-edge graphics and GenAI/ML techniques, collaborating with various teams to enhance data fidelity.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

The Senior Machine Learning Engineer will develop NLP applications, build models, optimize data processes, and integrate advanced algorithms into production systems.

The role involves designing and maintaining infrastructure for ML models in Unity's global ads system, ensuring high performance and reliability in a production environment.

The role involves designing and maintaining ML infrastructure, building serving pipelines, collaborating with ML engineers, and enhancing system performance for Unity's advertising platform.

Design and operate backend services for large-scale ML inference systems, ensuring performance and reliability at billions of requests daily.

Design and operate distributed systems for large-scale online model inference, focusing on performance and reliability in a gaming context.

Responsible for designing, building, and maintaining infrastructure that serves ML models in real-time, focusing on high performance and reliability in Unity's ads ecosystem.

As a Senior Machine Learning Infrastructure Engineer, you'll design and maintain the infrastructure for ML models, ensuring reliable performance and optimizing serving pipelines in a high-scale environment.

The Senior Machine Learning Infrastructure Engineer will design and maintain infrastructure for ML model serving, ensure systems run reliably, and collaborate with teams to optimize performance and cost-efficiency.

The Software Development Engineer in Test, ML will design and maintain automated test frameworks for machine learning products, validate model reliability, collaborate with various teams, and ensure high-quality standards in test automation and execution.