Top Senior Machine Learning Jobs

Lead the architecture for ML models on custom silicon, influencing AI frameworks and solving performance problems across the software stack.

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

The Senior Digital Twin ML Engineer will develop digital twins of robotic and experimental systems, focusing on model-identification pipelines, calibration routines, and integrating with simulation and control systems.

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

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

Design and implement advanced software for GPU-based machine learning applications in autonomous driving, optimizing resource usage, and collaborating on feature integrations.

As Lead Machine Learning Engineer, you will develop and deploy scalable ML models, optimize search relevance, and enhance user experience in an online marketplace environment.

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.

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.

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

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.

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.

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.

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.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.