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Top Hybrid Python Jobs in San Francisco, CA
Financial Services
As an Applied AI/ML Engineer, you'll design and implement AI and ML applications, develop scalable data processing pipelines, deploy machine learning models on cloud platforms, and collaborate with teams to adopt AI capabilities in financial services.
Top Skills:
Python
Cloud • Fintech • Information Technology • Machine Learning • Software
The Team Leader for Site Reliability Engineering at Xero will oversee incident management processes, lead a technical team, drive best practices in SRE, and collaborate with product teams to enhance service reliability. The role requires strong communication skills and hands-on experience with AWS and coding, particularly in Python, to build tools and automation for incident resolution.
Top Skills:
Python
Cloud • Healthtech • Social Impact • Software • Biotech
As a Data Platform engineer at Benchling, you will develop and manage high throughput data processing solutions, ensuring data integrity and optimizing performance. Your responsibilities include building distributed messaging platforms, defining data transformations, and creating CI/CD pipelines. You will collaborate with cross-functional teams to implement best practices and support both internal and external customers with data-driven capabilities.
Top Skills:
Python
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Fintech • Mobile • Software • Financial Services
As a Senior Staff Engineer, you will focus on designing and delivering self-service cloud platforms leveraging AWS. You will collaborate with various stakeholders, drive architectural decisions, mentor engineers, and ensure best practices in cloud infrastructure, security, and operational excellence.
Top Skills:
GoJavaPython
Computer Vision • Gaming • Software • Virtual Reality • Web3 • Metaverse
As a Senior Software Engineer at Roblox, you will develop and implement innovative solutions for data privacy and security, building scalable user protection solutions and collaborating with engineering teams to enhance privacy practices within the development lifecycle.
Top Skills:
C#GoPython
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Solutions Engineer will develop and optimize tools for partner needs, collaborate with various internal teams to deliver technical solutions, and ensure successful partner integrations. Responsibilities include writing code for APIs and tools, troubleshooting issues, and using metrics to enhance product usage.
Top Skills:
JavaJavaScriptPython
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior AI Engineer at Capital One, you will partner with engineers and scientists to develop and deploy AI-powered products, manage AI software components, and optimize large-scale AI systems. You’ll be responsible for training models, ensuring system performance, and contributing to AI technical vision and strategy.
Top Skills:
GoJavaPythonScala
Fintech • Information Technology • Logistics • Payments • Analytics • Business Intelligence • Generative AI
The Principal AI Architect will lead the design and deployment of machine learning algorithms, develop full-stack AI applications, ensure system scalability, and provide technical mentorship. This role focuses on innovative AI solutions aligned with business objectives and involves collaborating with engineering teams to integrate effective AI models into products.
Top Skills:
JavaScriptPython
Digital Media • eCommerce • Gaming • Mobile • News + Entertainment
The Staff DevOps Engineer will work with the Cloud Reliability team to improve the stability and efficiency of systems by partnering with development teams and owning significant infrastructure projects. Responsibilities include mentoring engineers, driving resolution of technical challenges, and enhancing service reliability through incident management and monitoring tools.
Top Skills:
GoPythonTypescript
Fintech • HR Tech
The Principal Applied AI Scientist at Gusto will design, develop, and deploy innovative AI solutions, focusing on generative AI capabilities. Responsibilities include experimenting with multi-agent frameworks, improving LLMs, collaborating with engineering teams, and researching novel AI techniques, all aimed at enhancing customer experience.
Top Skills:
JavaPythonRuby
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