Top Senior Machine Learning Jobs

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

Lead the development of advanced machine learning models and systems, architect scalable solutions, mentor engineers, and drive improvement initiatives for product performance and innovation.

As a Senior Machine Learning Engineer, you will develop and maintain machine learning libraries, collaborate with researchers, and ensure code robustness and efficiency.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

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

The Staff Machine Learning Engineer will lead the development of advanced AI models, collaborate with teams, conduct research, and mentor junior engineers.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, collaborating with teams and providing mentorship.

The Senior Machine Learning Engineer will deploy ML models, optimize data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

As a Senior Machine Learning Engineer, you will write high-performance code, optimize inference algorithms, and mentor engineers, impacting the future of AI deployments.

The Staff Machine Learning Engineer will lead ML strategy, architect AI infrastructure, mentor engineers, and develop impactful AI systems.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

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.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

The Staff ML Engineer will develop and deploy machine learning models for perception and navigation in humanoid robots. Responsibilities include sensor fusion, real-time inference, data collection, and mentoring junior engineers.

The Machine Learning Engineer will manage the end-to-end ML lifecycle, collaborate with cross-functional teams, develop production models, and monitor their performance in high-stakes environments.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

Join d-Matrix as a Senior Staff ML Researcher to design and implement efficient algorithms for optimizing Large Language Model inference on DNN Accelerators.

Design and implement machine learning models and systems for programmatic advertising, maintaining data pipelines and collaborating on product roadmaps.

Design machine learning models, maintain data pipelines, develop scalable model servers, and collaborate on product roadmaps.

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