Top Senior Machine Learning Jobs

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

The Senior AI Scientist will lead ML/AI innovation for multimodal video models, develop production-grade ML models, and engage in research and representation at conferences.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

As an Applied Machine Learning Engineer, you'll design and optimize LLM models and pipelines, improve permitting workflows, and manage the ML lifecycle.

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

Develop innovative machine learning algorithms for protein modeling and design, collaborating with experimental biologists and refining predictions.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Design and build scalable machine learning systems, mentor ML engineers, and collaborate with internal teams to enhance the ML platform.

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

Lead Machine Learning Engineers develop scalable ML systems, oversee technical feasibility, advocate for excellence, and mentor teams to meet organizational goals.

As a Senior ML Engineer, you will implement and optimize ML models for production, ensuring performance and scalability while collaborating with data and backend engineers.

Design and build AI/ML solutions, collaborate with teams, lead technical discussions, mentor engineers, and ensure delivery of ML features.

The job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

Design, develop, and implement machine learning models and algorithms. Collaborate with teams, optimize models, and ensure data quality for production deployment.

Design, develop, and implement machine learning models and algorithms, focusing on AI systems and traditional ML models for various applications. Collaborate with teams to deploy solutions and analyze performance.

Develop and optimize machine learning models, preprocess large datasets, deploy solutions, collaborate with teams, and monitor performance.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

The Senior Machine Learning Scientist applies advanced AI and machine learning algorithms to solve complex problems in cancer detection and treatment, collaborating with various teams to develop and implement solutions.

The role involves applying machine learning and statistics to develop algorithms for RF domain challenges, requiring a strong mathematical foundation and cloud infrastructure experience.

The role involves developing scalable AI solutions, building production-grade ML pipelines, and collaborating with various teams in Agile environments.

This role involves developing AI and ML solutions, modernizing client systems, and ensuring efficient software engineering practices with Agile methodology. You'll work on full software development lifecycle and participate in automation optimization.

The AI/ML Engineer will design and operationalize AI solutions, collaborate with teams to develop ML pipelines, and ensure system security and compliance.

The Sr. Machine Learning Engineer designs and deploys scalable AI solutions on cloud platforms, collaborating on MLOps pipelines and ensuring production reliability and security.