Top Senior Machine Learning Jobs

Lead collaboration to improve ML workloads on cloud and self-driving cars, optimize models, and mentor junior engineers.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

As a Senior Software Engineer, you'll build AI features focused on LLMs and RAG systems, collaborating across teams to ensure robust performance.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.

The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.

The Senior Machine Learning Research Engineer will develop and deploy deep learning pipelines, optimize model training, and collaborate with scientists to enhance AI/ML capabilities for cancer detection.

The Machine Learning Engineer will develop and maintain ML deployment pipelines, operationalize AI models, and ensure system reliability and scalability.

The Senior Software Engineer II at Aledade will develop scalable AI/ML solutions, mentor junior engineers, and collaborate with cross-functional teams in the healthcare industry.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

Design, develop, and implement machine learning models and algorithms. Collaborate with teams, optimize models, and ensure data quality for production deployment.

The job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

Design, develop, and implement machine learning models and algorithms, build scalable ML pipelines, and deploy models into production to enhance services and improve customer experiences.

As a Senior/Staff Machine Learning Engineer, you'll architect and build ML systems, develop models for shift pricing and fill rates, and work on computer vision tasks, mentoring junior engineers along the way.

Lead definition and implementation of the companys ML strategy and infrastructure. Build end-to-end production ML systems (data pipelines, training, evaluation, serving), own data strategy and feedback loops, integrate ML with product/backend, write production-quality code, and recruit/mentor the ML team as it scales.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Lead the development of end-to-end driving models for ADAS systems, focusing on reinforcement learning, multi-modal sensor data, and real-time deployment challenges.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

The Senior Machine Learning Engineer at Grailed will enhance personalization and recommendations, develop AI/ML solutions, and collaborate across departments for data-driven insights.

Lead the development and operationalization of machine learning systems at Taco Bell. Manage a team, optimize models, and ensure performance and reliability in real-time applications.

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

As a Staff Machine Learning Engineer Tech Lead, you'll collaborate with teams to enhance dataset quality, develop ML models, and improve data selection methodologies.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.