Top Machine Learning Jobs

Lead the machine learning engineering team, overseeing the development and deployment of ML systems, collaborating with various teams for alignment on ML use cases, and ensuring operational excellence.

As an ML Engineering Intern, you will analyze stakeholder needs, research models, implement training loops, deploy models for texture generation, and evaluate model performance.

Design and implement machine learning models to enhance product recommendations, collaborating cross-functionally, while tackling various recommendation challenges and advancing the ML community at Wayfair.

The Machine Learning Engineer will develop, deploy, and optimize ML models, manage infrastructure, and collaborate with teams to improve AI solutions in defense logistics.

The Senior ML Engineer will design and deploy large-scale ML systems for personalized recommendations, directly impacting user engagement and revenue. Responsibilities include building models serving 100M+ predictions daily and optimizing data processing pipelines.

The role involves building and optimizing large-scale ML systems for personalized recommendations that drive engagement, retention, and revenue, impacting millions of users daily.

The role involves building and optimizing machine learning systems for ad performance, collaborating with teams to enhance targeting and revenue. Responsibilities include developing algorithms, conducting experiments, and improving infrastructure for scalable ad decisioning.

As a Senior ML Engineer, you will develop and optimize ad algorithms to enhance engagement and revenue, collaborate with teams, and implement scalable ML systems.

Lead the development and deployment of scalable machine learning models for fintech applications, collaborating with various teams to meet business objectives.

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

Develop advanced machine learning models and algorithms, collaborate with engineers, and enhance ML solutions within Workday's product ecosystem, focusing on user experiences and data analytics.

The Machine Learning Engineer will develop and deploy large language models focused on preprocessing datasets, training, fine-tuning, and maintaining ML pipelines, primarily in healthcare settings.

The ML Engineer will develop and deploy machine learning systems, collaborating with data scientists to integrate ML models and design APIs using Kotlin, Rust, and GraphQL in a Kubernetes environment.

This role involves designing data pipelines, maintaining data systems, implementing machine learning features, and analyzing large datasets for insights to optimize models.

Design and deploy machine learning models for core product features, optimize home recommendations, and enhance the user experience at Zillow.

As a Machine Learning Engineer, you'll develop and deploy advanced machine learning models for analyzing complex sensor data and drive innovative solutions for critical infrastructure health monitoring.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

Lead Consultant will deliver client engagements in machine learning, including ML pipelines and data integrations, while managing client relationships.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning algorithms, collaborate on AI projects, and troubleshoot existing code.

As a Senior Machine Learning Engineer, you'll work with researchers on AI and computer vision, develop solutions, optimize algorithms, and ensure code stability.

Lead the development of machine learning models for autonomous vehicle behavior analysis, driving feedback analysis, and enhance evaluation systems with deep learning techniques.

As a Machine Learning Systems Engineer, you'll enhance AI training systems and algorithms, focusing on performance and usability to support AI research.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

As an AI/ML Engineer, you'll develop data/ML pipelines, analyze unstructured data, and contribute broadly to product development.