Top Machine Learning Jobs

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

Develop and translate advanced ML models for heart disease diagnostics, collaborate with cross-functional teams, conduct research, and manage projects.

As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.

As a Machine Learning Intern, you will develop and implement ML algorithms, collaborate with engineers, and participate in hackathons to enhance the user experience at Tinder.

The Applied Machine Learning Scientist will develop and enhance insitro's ChemML Platform using AI to optimize drug discovery, collaborating with cross-functional teams on therapeutic programs.

The Machine Learning Engineer will build AI-powered systems for legal applications, focusing on processing documents, automating workflows, and collaborating with various experts to improve performance.

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

The Machine Learning Engineer will collaborate with customers to tailor AI solutions, design and optimize ML pipelines, and drive innovation in the nuclear and utility sectors.

The Founding ML Engineer will develop and deploy ML systems, collaborate with teams, and translate ambiguous problems into production ML solutions, shifting between client delivery and platform development.

As a Machine Learning Engineer, you'll build ML infrastructure, develop scalable data pipelines for farm images, and collaborate with farmers and agronomists to apply ML solutions.

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

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.

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

The role involves building ML models, data pipelines, and contributing to product development while enhancing patient outcomes with AI.

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 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.

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.

Develop and maintain scalable AI/ML architectures, collaborate to integrate solutions into products, and evaluate technologies for optimal performance.

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

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 role involves implementing machine learning features at Nooks, with responsibilities including training production models and aligning technical strategies with performance and cost.

The Staff Machine Learning Engineer will lead the development of product personalization using advanced machine learning techniques. They will mentor team members, collaborate with cross-functional partners, and shape the machine learning vision at StubHub while ensuring impactful deployment of algorithms.

Lead the vision and execution strategy for ML & AI personalization at StubHub, mentoring a team of Machine Learning Engineers and collaborating with cross-functional stakeholders.

As an ML Scientist at Wispr, you'll develop advanced voice interfaces, focusing on ML personalization and enhancing speech models using fine-tuning and reinforcement learning techniques.