Top Remote Data Engineer Jobs in San Francisco Bay Area
Looking for a Security Researcher to collect, monitor, and measure cybercriminal underground data. Must have experience in cyber threat intelligence, data analytics, and programming. Responsibilities include data analysis, tooling development, and collaborating with stakeholders.
Design and develop performant services and tools for data modeling and governance. Collaborate on query compilers and data pipelines. Serve as the data modeling expert, understand system architecture impact, and work in a distributed environment.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in machine learning.
Senior Machine Learning Engineer role at Square's Measurement Machine Learning team. Responsible for developing cutting-edge ML models, building data science solutions, and collaborating with stakeholders for growth strategy and investment decisions.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Impact industries like agriculture, construction, transportation, and manufacturing.
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Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
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 an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.
As a Professional Services Solution Architect, you will oversee client projects, develop reports and dashboards, manage a team of developers, provide training, and ensure client success in utilizing business intelligence tools like Power BI. You will work in a SaaS environment with a diverse client base and play a key role in driving business decisions through data analysis.
GoodRx is seeking a Data Engineer II to collaborate with cross-functional teams in developing and maintaining data pipelines using cloud technologies. Responsibilities include defining data specifications, deploying data processing pipelines, and analyzing large datasets. The ideal candidate has 2+ years of experience in cloud data spaces and engineering data pipelines with big data technologies.
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