Top Machine Learning Engineer Jobs in San Francisco, CA

This role involves building large-scale machine learning systems to improve user connections on Roblox. The engineer will create social features driven by ML, scale systems for millions of users, define long-term strategies, and mentor junior engineers.

As a Senior Machine Learning Engineer, you will develop models for search, recommendation, and content understanding in the Marketplace. Responsibilities include building innovative end-to-end ML solutions, leading projects, mentoring engineers, and ensuring system scalability and reliability.

The role involves developing and implementing machine learning solutions for churn risk assessment, product recommendations, and customer engagement. The candidate will lead cross-functional projects, advocate for best practices, and collaborate with stakeholders for ML strategy execution.

As a Senior Machine Learning Engineer on the Identity team, you will utilize machine learning to reduce inauthentic identities, enhance customer access to financial services, and build ML pipelines and infrastructure for scalable solutions. The role involves close collaboration with Data Scientists and other engineers to implement long-term ML strategies and improve services.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train sophisticated models, and collaborate with various teams to integrate AI functionalities into products. You will design architectures, experiment rigorously, and guide junior engineers to leverage AI's transformative potential across the organization.

As a Senior Machine Learning Engineer, you'll design, build, and maintain ML systems to detect fraudulent activities in real-time. You'll collaborate closely with ML Modelers and Software Engineers, integrating new data sources and models while solving complex technical challenges at scale. You'll take ownership of your solutions from development to operation, ensuring effectiveness and reliability.

The Principal Machine Learning System Engineer will build and maintain the infrastructure for Machine Learning models, tackling complex challenges in architecture and collaborating with various teams to ensure effective integration across the organization.

As a Principal Machine Learning Engineer, you will lead the implementation of machine learning algorithms and train sophisticated models in collaboration with various teams. Your responsibilities will include designing architectures, conducting experiments and model evaluations, and mentoring emerging ML engineers to enhance AI functionalities across Atlassian's products.

As a Senior AI Engineer, you will design and maintain large-scale AI/ML pipelines, train and tune models, and develop evaluation frameworks for machine learning and large language models. Collaboration with a team of AI engineers is essential for optimizing network applications.

Lead the Personalization ML Engineering team at Cash App, focusing on integrating machine learning into product development, mentoring engineers, and identifying AI opportunities to enhance user experience. Collaborate with senior leadership and contribute to strategic planning while fostering a culture of learning and staying updated with AI advancements.

The Staff Machine Learning Engineer will develop AI-powered solutions and Large Language Models for the NOW platform by applying AI/ML expertise. Responsibilities include benchmarking LLMs, data collection, collaborating in a team, and possibly publishing research. The role demands strong problem-solving skills and effective communication with stakeholders.

As a Senior Machine Learning Engineer, you will develop the Cashbot chatbot and implement intelligent customer support solutions using machine learning models. Responsibilities include creating modeling pipelines and conducting research on advanced AI solutions while mentoring junior team members.

As a Senior Data Scientist at Capital One, you will work on developing and operationalizing machine learning models, conduct experiments to enhance customer experiences, and partner with product teams. Your role includes data analysis and building models to identify trends and patterns in customer behavior using cutting-edge technologies in AI and machine learning.

The Senior Director of Technical Program Management will lead strategic initiatives in Capital One's Enterprise Data and Machine Learning division, overseeing complex technical projects, aligning teams, and ensuring successful delivery of data-driven solutions. The role emphasizes fostering innovation, enhancing data management practices, and developing the TPM discipline across the organization.

As a Principal Data Scientist at Capital One, you will develop machine learning models, conduct experiments with business teams, and integrate emerging technologies into products to enhance customer outcomes, focusing on large-scale data analysis and model validation.

As a Senior Machine Learning Engineer at Samsara, you will lead ML initiatives, develop end-to-end applications, and collaborate with cross-functional teams. Your work will have a significant impact on improving the safety, efficiency, and sustainability of physical operations.

As a Senior Manager in Machine Learning Engineering, you will lead the design and implementation of machine learning applications, focusing on architectural design, model development, and ensuring performance. Collaborate with Agile teams to build optimized ML systems and data pipelines, utilizing best practices in machine learning and continuous deployment.