Top Machine Learning Engineer Jobs

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 Associate Software Engineer will design and implement machine learning models, collaborate with teams to solve business problems, and ensure model performance in a production environment.

Individual-contributor ML engineer who designs, prototypes, and ships AI-powered newsroom and reader-facing tools. Build and deploy production systems leveraging LLM APIs and web technologies, collaborate with journalists and cross-functional teams, create evaluation frameworks, ensure responsible AI use, and iterate on MVPs based on newsroom feedback.

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.

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.

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

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.

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

Design and implement ML infrastructure for scalable deployment, collaborate across teams, optimize ML systems, and enhance tooling.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

The Senior Machine Learning Engineer will design, implement, and deploy ML models, contribute to engineering standards, and mentor junior engineers.

Design and optimize pre-training pipelines for VLM models, conduct research on pre-training techniques, and evaluate performance for autonomous driving.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

Nagarro is looking for an Associate Staff Engineer specializing in Machine Learning to tackle client challenges and enhance team collaboration, while pushing solutions further.

As an ML Infrastructure Engineer, you'll build and manage systems supporting model deployment, monitoring, and training workflows while collaborating with various teams to enhance ML operations.

The Machine Learning Infrastructure Engineer will design, build, and maintain ML infrastructure to support model experimentation, deployment, and monitoring, enhancing AI capabilities across Later's products.

As an ML Infrastructure Engineer, you'll build scalable ML infrastructure, manage model lifecycle, and ensure reliable deployment systems for AI capabilities at Later.

Develop and deploy large-scale, fault-tolerant agentic AI systems, lead initiatives, and ensure trustworthy AI agent interactions. Require 5+ years experience and advanced degree in relevant fields.

Develop and maintain software for grasping in robotics, integrate ML models, collaborate with a technical team, and participate in simulation testing.