Top Senior Machine Learning Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will build models for search and recommendation systems, mentor developers, and work on scalable and reliable ML solutions.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

Build and enhance machine learning models for Pinterest products, utilizing data-driven methods and overseeing data processing pipelines.

Lead the development of AI and machine learning models at Klaviyo, mentor team members, and align technical strategies with business goals.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

Develop and implement machine learning algorithms, analyze datasets, and mentor team members while collaborating with product managers to refine predictions.

The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

Join Kayzen as a Senior Machine Learning Engineer, leading the development and deployment of big data machine learning models while collaborating closely with data scientists to drive innovation in AdTech.

Lead ML initiatives in payments and risk, develop models, engage stakeholders, enhance Gusto's products using data-driven insights.

As a Senior Machine Learning Engineer, you'll drive ML initiatives, collaborate with cross-functional teams, and optimize ML models for performance and scalability.

The Lead Machine Learning Engineer will design and implement ML applications and systems, mentor junior developers, and optimize data pipelines while collaborating with cross-functional teams.

Build ML models for search and recommendation, leading projects and mentoring engineers in a high-scale product environment.

As a Senior Data Scientist / Machine Learning Engineer at Faire, you will be responsible for building Ads Delivery and Advertiser Optimization solutions, working on challenges in ads targeting, retrieval, prediction, ranking, and auction design. You will leverage machine learning to enhance search and personalization for local retailers, contributing to team strategy and model development.

As an Applied Machine Learning Engineer, you'll develop and implement machine learning algorithms, collaborate across teams, and improve AI functionalities in Atlassian products.

As a Machine Learning Engineer, you'll build and monitor ML pipelines, implement ML Ops, and enhance ML engineering platforms while collaborating with client teams.