Top Hybrid Data Engineer Jobs in San Francisco, CA
Build cloud-based AI/ML solutions to power intelligent enterprise services, collaborate with a team to produce quality software, work with product owners to deliver high-quality solutions
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Seeking a talented data engineer to build foundational datasets and pipelines for financial reporting. Responsibilities include integrating financial, business, and product data, designing scalable pipelines, and democratizing access to financial data. Required skills include experience in data engineering, building integrations with financial systems, and expertise in SQL and cloud platforms.
Seeking a talented data engineer to build foundational datasets and pipelines to support marketing and sales strategies at a rapidly growing company. Responsibilities include integrating product and business systems, designing scalable data solutions, and democratizing data access across teams. Must have experience in building core datasets, working with Marketing and Sales datasets, and shipping scalable data solutions in the cloud. SQL expertise and object-oriented programming skills are required.
Lead a team of machine learning engineers and software engineers in developing and optimizing a personalized video recommendation engine. Define the architecture of the content recommender system for scalability and performance. Drive rapid iteration and evaluate technical tradeoffs to continuously improve the recommender system. Conduct A/B testing and analyze performance metrics.
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Senior AI Engineer responsible for training, tuning, and evaluating AI/ML models including Deep Learning and Large Language Models. Design and implement large-scale AI/ML pipelines and evaluation frameworks. Proficiency in Python and machine learning frameworks like SKLearn, PyTorch, and Tensorflow required.
Join Grammarly as a Machine Learning Engineer specializing in NLP to build new products and capabilities for Enterprise customers. Work with a high-performing team to apply ML to solve challenging problems and improve communication in customer organizations.
Building large-scale ML systems to connect people on Roblox, focusing on social graph embeddings and systems. Driving company objectives for friending growth and user retention. Collaborating with product and design teams to push boundaries.
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Seeking an experienced Director of Data Operations to support the Chief Data Officer in driving critical initiatives and operational excellence of the Data Org. Responsibilities include implementing data strategy, developing operational frameworks, leading cross-functional projects, managing budgets, and facilitating effective communication. Requires 8+ years of experience in strategic, consulting, or operational roles within data and analytics. Bachelor's or Master's degree in Business Administration, Data Science, Information Technology, or related field.
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Lead the global Data team in collaborating with internal stakeholders to set a data-driven strategy for Travel and FinTech products, manage a team of data analysts and scientists, improve question-asking and answer-solving capabilities, build reporting products, define scalable data models, and stay curious.
Lead the development of clinical data models, reports, automation pipelines, and integration of data for personalized care to cancer patients. Serve as the data steward for clinical study data. Partner with product, commercial, and engineering teams to develop data products.
The Senior BI Engineer will be responsible for designing and building scalable BI platforms and customizable business-ready datasets. They will empower teams to make data-driven decisions and improve products and services. The engineer should have a deep understanding of big data and experience in creating semantic layers and self-service BI analytics.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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