Top Machine Learning Jobs in San Francisco Bay Area, CA

As a Senior Machine Learning Engineer at Cash App, you will develop machine learning solutions for risk management and fraud mitigation, working collaboratively with cross-functional teams. You will utilize your expertise in machine learning algorithms and data analysis to enhance product offerings for a diverse customer base.

The Senior Machine Learning Engineer will build and deploy machine learning models to mitigate risks in payments, collaborate with cross-functional teams, develop scalable frameworks, and effectively communicate results to stakeholders.

As a Senior Machine Learning Engineer, you will collaborate with product managers and engineers to design and productionize machine learning models. Responsibilities include building data processing pipelines, improving model performance, conducting experiments, and maintaining code quality with tests. You will stay updated on emerging technologies and share knowledge through presentations.

The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.

In this role, you will develop and tune machine learning models, particularly focusing on deep learning and large language models. You'll design large-scale AI/ML pipelines, build evaluation frameworks, and collaborate with other AI engineers to optimize network performance through innovative solutions.

The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.

As a Machine Learning Technical Lead at Klaviyo, you will develop innovative AI models, guide a diverse technical team, and create AI-driven solutions to improve customer experiences and marketing strategies, all while aligning with the company's business goals.