Top Senior Machine Learning Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer at Block will design and build services to support ML operations, integrate data streams, lead MLOps efforts, develop prototypes, and influence team culture. The role involves close collaboration with cross-functional teams to enhance ML tooling and infrastructure.

The Senior Machine Learning Engineer will lead projects to develop scalable machine learning solutions focused on conversational AI, collaborating with business leaders and driving end-to-end development of ML features and products.

As a Principal/Senior Machine Learning Engineer, you will design and implement machine learning solutions that enhance the Search and Discovery system at Roblox, focusing on user and content understanding, recommendation models, and natural language understanding. You will work on creating scalable solutions to drive engagement and improve user experience.

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 Senior Machine Learning Engineer will design and implement ML pipelines to address fraud in Cash App's banking products. Responsibilities include developing and maintaining ML models, collaborating across teams, and enhancing risk management through machine learning solutions.

As a Senior Machine Learning Engineer at Kikoff, you will develop and maintain machine learning infrastructure for applications in credit-making decisions. Responsibilities include creating data pipelines, developing scalable ML models, collaborating with cross-functional teams, monitoring model performance, and mentoring junior team members.

The Senior Machine Learning Engineer in Risk at Cash App will develop analytical and machine learning solutions to mitigate risk and fraud. This role involves working cross-functionally with various teams to balance financial loss, regulatory risk, and customer experience. Strong problem-solving skills and communication with non-technical stakeholders are essential.

The Senior Machine Learning Engineer at Affirm will develop machine learning models for credit opportunity management, optimize loan opportunities, and collaborate with engineering and product teams. Responsibilities include building data pipelines and communicating technical concepts effectively.

The Sr Machine Learning Engineer will develop cutting-edge deep learning and machine learning technologies to enhance personalization on Pinterest. Responsibilities include building large-scale ML systems, collaborating with cross-functional teams for model improvement, utilizing data to refine features across various product areas, and staying updated on industry trends.

As a Senior/Principal Machine Learning Engineer at Roblox, you will develop end-to-end ML solutions for search and recommendation systems, tackle technical challenges, lead projects, mentor engineers, and ensure scalable system performance.

The Senior Principal Machine Learning Engineer will lead the integration of AI capabilities into Atlassian products, focusing on developing innovative machine learning models and extracting insights from vast datasets. This role involves collaboration across teams to ensure the intuitive implementation of AI features and the education of team members about AI potential.

The Principle Machine Learning Engineer at Atlassian will be responsible for building and deploying the Teamwork Graph's knowledge graph, processing large amounts of graph data, developing APIs, and leveraging generative AI and ML to enhance product intelligence. The role involves mentoring team members and collaborating across product teams to integrate knowledge deeply into various Atlassian products.

As a Staff Machine Learning Engineer, you'll lead the development of an AI/ML strategy, focusing on enhancing customer support with natural language understanding systems, and collaborate across teams to optimize existing machine learning capabilities.

As a Senior Machine Learning Engineer at Step, you will design, develop, and deploy ML models for Risk and Fraud detection. You will lead technical efforts, manipulate data with SQL, write robust code, design experiments for model performance evaluation, and collaborate with teams to enhance operations.

The Staff Machine Learning Engineer will lead cross-functional projects focused on developing and optimizing machine learning solutions within the Square Conversational AI team. Responsibilities include collaborating with business leaders, building data-driven products, and providing mentorship, while advocating for engineering best practices.

The Principal Machine Learning Engineer will build and operate machine learning services for Disney Streaming, collaborating with teams across various organizations. Responsibilities include implementing ML infrastructure, driving AI tool adoption, mentoring engineers, and leading cross-functional projects.

As a Staff Machine Learning Engineer on the Conversational AI team, you will lead machine learning projects to enhance Square's products through conversational and generative AI techniques. Responsibilities include collaborating, developing ML solutions, mentoring the team, and ensuring engineering quality while driving end-to-end machine learning initiatives.