Top Machine Learning Engineer Jobs in San Francisco, CA

The Senior Technical Sourcer for Machine Learning will source and screen candidates for ML roles, collaborate with recruiters and hiring managers, develop sourcing strategies, and enhance the candidate experience. They will utilize hiring metrics and technical competencies to find untapped talent and provide effective candidate engagement.

Lead a team of machine learning engineers to develop signals and models for user and content understanding, improve ranking models for ads and user growth, define the architecture of the embedding platform, and collaborate with various teams to enhance product quality.

The Senior Machine Learning Modeler will develop scalable solutions for detecting and preventing financial crimes by leveraging machine learning. Responsibilities include building machine learning solutions, collaborating with stakeholders, producing regulatory documents, and identifying future needs. The role requires experience in software engineering and machine learning, with an emphasis on continuous learning and improving team culture.

As a Senior Technical Director on Discovery at Roblox, you will lead the technical vision for machine learning solutions in search and recommendation systems, fostering an engineering culture of excellence while collaborating with teams to enhance user experience through innovative technology.

The Applied AI ML Director will lead the development and implementation of machine learning components, collaborate with teams, and enhance workflows using advanced ML techniques. They will leverage knowledge in ML algorithms and frameworks to drive innovative projects.

As a Technical Director on Discovery, you'll lead technical vision and execution for machine learning initiatives to enhance search and recommendation systems at Roblox. Your role involves collaborating with teams to create user-focused solutions while balancing research and practical applications. You'll direct feature development, maintain engineering excellence, and ensure effective content distribution.

The Principal Machine Learning Engineer will lead the Ad Ranking team's technical roadmap, design and optimize machine learning models for ad monetization, collaborate with cross-functional teams on strategies, and advocate for best practices in scalability and operational excellence.

As a Senior Machine Learning Engineer, you will develop high-quality machine learning models that assess creditworthiness and collaborate with engineering teams to build decisioning systems. You will research innovative solutions and implement data pipelines essential for production models, contributing to Affirm's credit landscape.

As a Machine Learning Engineer II at Affirm, you'll develop and implement machine learning models to detect and prevent online fraud. Collaborating across teams, you'll create infrastructure, scale data pipelines, and innovate solutions to enhance fraud detection capabilities while ensuring a seamless customer experience.

As a Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and implement ML models for on-device features, evaluate their performance, and collaborate with product teams to integrate these capabilities into user interfaces. You will leverage academic research to enhance the technology and launch models while responding to user feedback.

As a Data Scientist in the Ecosystem and Learning Platform team, you will support vertical data science teams in experiment design and analysis, collaborate with cross-functional teams to develop scalable solutions, and work to advance data science methodologies. You will also help streamline analytic operations and ensure successful execution of company-wide experiments.

The Senior Machine Learning Engineer will work on productionizing machine learning applications, collaborating with Product and Data Science teams, designing ML models, automating tests, and deploying ML solutions in cloud environments. Responsibilities include maintaining models in production and optimizing data pipelines.

In this role, you will build cloud-based AI/ML solutions that enhance user experience and workflow efficiency for enterprise services. Collaborate with developers and product managers to deliver high-quality software, owning your code from design to delivery. Your expertise in AI/ML, algorithms, and object-oriented programming will drive innovations for enterprise customers.

As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.

As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.

As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.

As a Senior Manager, Machine Learning Engineering, you will design, implement, and scale machine learning applications within an Agile team. Your role includes collaborating with Product and Data Science teams to develop models that address business challenges, managing ML systems, optimizing data pipelines, and ensuring adherence to best practices in responsible AI and code governance.