Top Machine Learning Jobs in San Francisco, CA
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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
The Machine Learning Engineer will develop new ML solutions to enhance the safety and fairness of Grammarly products, working in cross-functional teams and using state-of-the-art ML techniques. Responsibilities include building scalable ML solutions, mentoring team members, and integrating risk mitigation technology while communicating technical results effectively.
As a Principal Machine Learning Engineer, you will develop and implement cutting-edge machine learning algorithms and train sophisticated models, collaborating with cross-functional teams to integrate AI functionalities into Atlassian products. Your role includes designing system architectures, conducting experiments, and guiding emerging ML engineers to ensure AI's transformative potential is realized across offerings.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
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Apply advanced machine learning techniques to tasks such as natural language processing, speech analytics, time series, and recommendation systems. Partner with various teams to deploy solutions into production and drive firm-wide initiatives. PhD in a quantitative discipline with 5 years of experience or MS with 8 years of experience required. Strong analytical thinking and communication skills essential.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
The role involves building large-scale machine learning systems focused on connecting users within Roblox, developing features like People You May Know and Friendship Score, and mentoring junior engineers. You will influence product direction and define long-term ML strategies.
Seeking an ML Engineer to join the AI team at Notion, responsible for incorporating AI technologies into the product and exploring the boundaries of ML technology. Must have 3+ years of experience in machine learning, recommendation systems, or natural language technologies.
As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to improve customer experiences and business outcomes. You will research and apply emerging technologies in AI, engage with business and product teams, and ensure robust operational integration of models to serve millions of customers.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
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