Top Machine Learning Engineer Jobs

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, implement pipelines, and collaborate with cross-functional teams to enhance Yahoo's data capabilities.

Build and maintain ML infrastructure for robot manipulation, including data pipelines, training systems, and real-time inference, collaborating with researchers.

The role focuses on educating ML practitioners on leveraging Hugging Face Cloud solutions by driving visibility through technical content, public speaking, and partnerships with strategic cloud providers.

The Principal ML Engineer will lead the development of AI evaluation platforms, architect frameworks for evaluating LLMs, and collaborate across teams to ensure safe and ethical AI practices.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

The Senior Machine Learning Engineer will develop and deploy ML models for the electric grid, mentor junior engineers, and collaborate across teams to tackle complex energy challenges.

As a Machine Learning Engineer, you'll design AI/ML solutions, optimize pipelines, integrate models, and enhance AI capabilities while collaborating with teams.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

Join the AI team to build automation features in AI/ML, owning projects from concept to integration, and collaborating with leadership.

Design and deploy reliable ML models for drone navigation using deep learning. Collaborate across teams and mentor on ML adoption.

Design and deploy deep learning models for autonomous rail vehicles, focusing on machine learning and computer vision challenges. Collaborate with cross-functional teams to integrate ML into real-world applications.

As a Senior Engineer, you will design and scale ML models for fraud detection, develop MLOps pipelines, and collaborate with cross-functional teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

The Senior Machine Learning Operations Engineer will build and operationalize the ML Ops platform to deploy and monitor machine learning models, focusing on infrastructure, automation, and integrating ML workloads within the AWS-native architecture.

As a Senior Machine Learning Engineer, you'll develop ML-driven features, perform data analysis, build scalable models, and enhance model performance.

As a Principal Software Engineer, you'll architect version 2 of an AI claims management platform, designing complex systems for insurance claims handling while mentoring engineers and collaborating with leadership.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

As a Senior Machine Learning Engineer at Unity, you will modernize infrastructure, build intelligent systems using LLMs, and mentor teammates.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

The Senior Machine Learning Engineer will modernize Unity's AI systems by designing intelligent agents, developing applications, and ensuring quality through collaboration and innovation.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

The Data Engineer will develop ETL/ELT pipelines, support ML workflows, and ensure data quality in a remote team setting.