Top Hybrid Data Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will lead projects in the Conversational AI team, focusing on developing scalable ML solutions for Square's products, working collaboratively with various teams, and advocating for best engineering practices. Responsibilities include managing ML systems lifecycle, collaborating on product features, and maintaining production-level code.

As a Decision Analytics Associate Consultant, you will develop statistical models and leverage analytic techniques using data to inform client decisions. Responsibilities include custom analysis design, project deliverables creation, mentoring associates, and advancing problem-solving skills within a collaborative environment.

The Principal Machine Learning Engineer will lead the development of recommendation systems for Disney's streaming platforms. Responsibilities include designing algorithms, collaborating with data science and product teams, and optimizing user experiences across various services. The role emphasizes building scalable ML pipelines and effectively communicating with both technical and non-technical stakeholders.

As a Senior Machine Learning Engineer, you will design scalable recommendation systems, preprocess data, train machine learning models, and enhance user engagement through personalized content recommendations. You will collaborate with cross-functional teams and implement feedback systems to improve model effectiveness.

The role involves designing and building services and tools for machine learning teams, integrating diverse data streams to build models, leading MLOps efforts, and influencing team culture at Block. The senior engineer will also prototype new tools and advocate for best practices.

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.

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.