Top Senior Level Data Engineer Jobs in San Francisco Bay Area
Develop and improve machine learning models for customer support experiences, utilizing state-of-the-art algorithms and large language models. Collaborate with cross-functional teams to meet business needs and monitor model performance for continuous improvement.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning engineers and data scientists. You will lead projects, collaborate with teams, and tackle complex challenges. The role requires 5+ years of experience and fluency in Java, Kotlin, and Python.
Build and maintain core infrastructure for machine learning models and pipelines. Lead projects, collaborate with teams, and drive technical design to launch. Accelerate AI innovation and provide AI experiences across products.
Design equitable and competitive compensation programs. Base pay ranges from $165,500 to $265,800. Additional benefits such as bonuses, commissions, and equity may be provided.
Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.
Seeking a Senior Manager, Data Engineering at Capital One Software to lead a team in developing technical solutions using Java, Scala, Python, and cloud-based data warehousing services. Responsibilities include collaborating with Agile teams, providing technical and people leadership, and driving major transformation within the company.
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Design and implement data warehouse, construct data pipelines, empower users to explore data, lead QA initiatives, optimize data processes, offer technical recommendations, collaborate with team members.
As the Head of Data at Square, responsible for leading Data Science, Analytics, Machine Learning, and Data Engineering teams, driving strategic direction, ensuring data governance, fostering a culture of agility and innovation, and delivering impactful insights to drive business performance.
Join Hims & Hers Health as a Senior Data Engineer to architect and develop data pipelines, maintain scalable infrastructure, design data processing pipelines, support analytics engineers and machine learning teams, and ensure data compliance and security policies.
Lead Data Engineer responsible for designing and elevating metrics for consumer-facing search, recommendations, promotions, and messaging experiences at Disney Entertainment & ESPN Technology. Work with engineering teams to ensure data availability, build workflows, analyze complex datasets, and drive success for streaming applications like Disney+, Hulu, ESPN+, and Star+.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community
Build AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and work on data acquisition and evaluation metrics for performance and quality at scale. Drive innovation in AI technologies for future work experiences.
Snap Inc is seeking a Staff Machine Learning Engineer with 8+ years of experience to create models driving value for users and the company, evaluate technical tradeoffs, perform code reviews, build scalable products, and iterate quickly with high quality. Strong understanding of machine learning approaches, ability to work independently, collaboration skills, and problem-solving capabilities are required. Knowledge of machine learning frameworks and system design experience are preferred qualifications. Bachelor's degree in a technical field is a minimum requirement.
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