Top Machine Learning Jobs

Lead the development and deployment of machine learning solutions that enhance content discovery on Netflix, partnering with engineering and creative teams.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

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.

The Machine Learning Consultant will structure, enrich, and connect data for Suzy's AI-driven applications, design frameworks, and implement systems for efficient data retrieval and processing.

The Machine Learning Engineer will build and optimize internal tools, frameworks, and performance measurement systems, collaborating with Data Science to enhance model deployment in a dynamic environment.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

Lead the Machine Learning engineering team by hiring, mentoring, and deploying ML models to enhance Risk and Fraud detection systems.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning systems, collaborate on AI features, and ensure reliable production performance.

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.

Lead the design and architecture of GNN and transformer-based multi-entity embedding generation for Reddit's recommendation systems, collaborating across teams and optimizing machine learning pipelines.

The role leads predictive modeling and machine learning initiatives, mentors team members, and drives innovations in data science for credit risk and operations.

The Principal Machine Learning Engineer will lead ML lifecycle projects, developing AI strategies, and implementing advanced machine learning solutions for government clients, while ensuring data integrity and operational efficiency.

Lead the development and implementation of ML/AI solutions for AML and Financial Crime, collaborating with teams to optimize workflows and ensure compliance.

The Principal Machine Learning Engineer will improve diffusion models, conduct research, implement techniques, and collaborate on production-ready systems in AI for fashion.

The engineer will develop and evaluate machine learning models for ultrasound devices, lead small teams, curate datasets, and document performance results.

Lead the architecture and development of ML systems, integrating various models and tools, ensuring they are secure and efficient while mentoring engineers.

The Senior Machine Learning Engineer at SmarterDx will deploy, maintain, and optimize machine learning models, collaborating across disciplines to integrate these solutions and improve clinical AI outcomes.

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

Design and implement ML systems for ads targeting, drive technical direction, mentor junior engineers, and collaborate cross-functionally for product development.