Top Machine Learning Engineer Jobs

The AI/ML/Data Engineer will design, implement, and deploy production-grade ML systems, build data pipelines, and collaborate with teams to deliver AI solutions across various environments.

The Sr. ML Engineer will design and implement scalable ML systems, manage end-to-end ML pipelines, and optimize model performance using best practices in MLOps.

The role involves integrating and productionizing ML models into infrastructure, optimizing pipelines for real-time inference, and enhancing GPU workloads for robotics applications.

The ML Platform/MLOps Engineer will build and maintain infrastructure for large-scale ML systems, ensuring efficiency, reliability, and security while supporting the research team from experiments to production models.

As a Research Engineer for ML Systems, you'll optimize GPU clusters for AI, develop advanced technologies for consumer AI models, and improve model training and inference performance.

The role involves supporting ML infrastructure, building diagnostic tools, managing deployments, and optimizing GPU utilization for ML projects.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Develop algorithms and optimizations for inference and compiler stack, enhance performance metrics, collaborate with hardware teams, and publish work on novel approaches.

Optimize the performance of ML models for training and inference. Focus on CUDA optimization and systems approach, ensuring low latency and high throughput in real-time. Debug and utilize modern tools and techniques for system performance improvements.

As a Senior Machine Learning Engineer, you will build machine learning models, define processes for AI, and ensure the security of AI systems while collaborating with government sponsors.

Manage the ML lifecycle, collaborate with teams, optimize production code, evolve solutions, and stay updated with ML developments.

Responsible for building tools to democratize machine learning, productionizing ML models, and maintaining supporting platforms while evolving technology stacks.

The Senior Software Engineer will modernize customer correspondence, design scalable systems, and collaborate on application improvements within underwriting processes.

As a Senior Computer Vision Engineer, you will develop and optimize computer vision and machine learning algorithms for robotics systems, while collaborating with cross-functional teams and maintaining code documentation.

Develop Cloud Data Infrastructure for Assured AI in autonomous vehicles, focusing on ML model training, evaluation, and deployment.

The AI/ML Platform Engineer will architect an enterprise AI platform, provide technical leadership, evaluate AI technologies, and create standards for effective AI systems.

The role involves building ML infrastructure, optimizing workflows, and collaborating with ML research scientists to advance aging research.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

The Senior Machine Learning Engineer will develop and deploy models for 3D reconstruction from videos, integrate CAD, and work with cloud infrastructures to ensure clinical accuracy.

The Senior Software Engineer will develop high-impact machine learning solutions, optimizing logistics operations and integrating GenAI applications while managing model lifecycle at Uber Freight.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

As a Senior Engineer, you will develop high-impact solutions utilizing machine learning to optimize logistics and network operations at Uber Freight, focusing on deploying scalable models and integrating Generative AI applications.

The Senior ML Performance Engineer will architect a Performance Testing Platform, optimize ML performance on GPUs, and validate model efficiency.

The Senior Machine Learning Engineer will manage the full ML lifecycle, collaborating with teams to develop scalable systems that improve product decisions and empower monetization strategies.