Top Machine Learning Jobs in San Francisco Bay Area, CA
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.
Lead the design and implementation of Machine Learning systems for Roblox's Virtual Economy. Collaborate with product and design teams, mentor junior engineers, and contribute to the overall system architecture while ensuring the scalability of solutions for billions of transactions.
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.
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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.
The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.
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 Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
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.
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.
Top Companies in San Francisco Bay Area, CA Hiring Machine Learning Roles
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