Top Remote Machine Learning Jobs in San Francisco Bay Area, CA
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
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As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.
As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.
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As a Staff Machine Learning Engineer on the Conversational AI team, you will lead projects to automate and optimize Square products using cutting-edge machine learning techniques. Responsibilities include collaborating cross-functionally, advocating for best practices, and mentoring team members while building and productionizing ML solutions.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
As a Machine Learning Engineer II at Affirm, you'll develop and implement machine learning models to detect and prevent online fraud. Collaborating across teams, you'll create infrastructure, scale data pipelines, and innovate solutions to enhance fraud detection capabilities while ensuring a seamless customer experience.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
As a Research Scientist at Deepgram, you will design and execute research programs to develop speech and language AI models, optimize their architectures for efficiency, and collaborate with teams to deploy these models at scale, contributing to advancements in voice technology.
The role involves crafting and executing a multi-year AI/ML-powered technical strategy for Notifications at Pinterest, collaborating with various teams to enhance user engagement and reduce churn. Responsibilities include developing scalable systems, managing a team, and mitigating engineering risks.
The Senior Machine Learning Engineer will contribute to motion planning systems for autonomous vehicles, developing algorithms and deep learning models while guiding junior team members. Responsibilities include designing software, deploying solutions in vehicles, and enhancing data-driven models. The position requires expertise in C++ and deep learning frameworks.
Lead the development and innovation of motion planning systems using machine learning and optimization. Oversee algorithm development, integrate with perception and control systems, ensure robust and scalable software, and mentor junior team members for product-focused engineering.
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