Top Remote Senior Machine Learning Engineer Jobs in San Francisco Bay Area

As a Senior Machine Learning Engineer at Block, you will design and build services to support ML modelers, integrate data streams to develop efficient models, and lead MLOps efforts. You will also enhance investigator productivity through improved tools and keep the team updated on ML infrastructure developments.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

As a Staff Machine Learning Engineer, you will build and deploy ML models for personalization features in Cash App, collaborating with product and marketing teams to enhance user experience and drive growth.

As a Staff Machine Learning Engineer at Square, you will lead modeling efforts and collaborate with stakeholders to enhance core products using ML and AI. Responsibilities include mentoring junior engineers, exploring new AI technologies, and making strategic decisions for model deployment and maintenance.

As an Applied Machine Learning Engineer, you'll develop and implement machine learning algorithms, collaborate across teams, and improve AI functionalities in Atlassian products.

As a Senior Data Scientist for mobile app user acquisition, you'll lead the development and optimization of machine learning algorithms, build scalable ML models, and collaborate with data engineers to enhance advertising effectiveness and user acquisition for StackAdapt's platform.

The Staff Machine Learning Engineer will lead projects in developing machine learning solutions for Square's Conversational AI team. Responsibilities include collaborating with stakeholders, building and optimizing ML features, and driving end-to-end machine learning projects while mentoring team members.

As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.

The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.

The Staff Machine Learning Engineer will develop and implement machine learning models to enhance seller retention and growth at Square. Responsibilities include designing AI systems, leading cross-functional ML projects, mentoring team members, and collaborating with business leaders to establish success criteria for new ML products.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.

The Senior Machine Learning Engineer will work with data scientists and software engineers to develop ML technologies, simplify user jobs, and lead projects with large data volumes. Responsibilities include analysis, testing, deploying models, and collaborating on code reviews.

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.

The Staff Machine Learning Engineer will work with product and marketing teams to personalize user experiences, build and deploy machine learning models, and improve growth and engagement through data-driven insights. They will utilize machine learning algorithms and techniques to drive personalization across Cash App and Afterpay.

As a Senior Machine Learning Engineer, you'll bridge the gap between data science and ad systems engineering, developing solutions for model experimentation, monitoring, and pipelines, while driving innovation and best practices in machine learning systems.