San Francisco, California, United States · On-site
$226k–$241k/yr
Mid level$260M raised
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Skills: Distributed Systems, Data Processing, Database Internals, Python, Scalable Systems
San Francisco, California, United States · On-site
Senior
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San Francisco, California, United States · On-site
$170k–$230k/yr
Mid level$500K raised
Product Engineer LiteLLM is the world's most popular AI Gateway, trusted by companies like Adobe, Netflix, and NASA. We're building the next generation of infrastructure for AI applications—and now we're building our sec…
Skills: Python, FastAPI, Backend Development, Frontend Development, API Design
San Francisco, California, United States · Remote OK
$120k–$180k/yr
Senior$33M raised
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San Francisco, California, United States · On-site
$200k–$250k/yr
Senior+
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Senior Software Engineer, Autonomous Freight Systems
San Francisco, California, United States · On-site
$183k–$229k/yr
Senior$2.7B raised
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Staff Software Engineer, Autonomous Freight Systems
San Francisco, California, United States · On-site
$197k–$246k/yr
Senior+$2.7B raised
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San Francisco, California, United States · On-site
$147k–$184k/yr
Mid level$2.7B raised
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San Francisco, California, United States · On-site
Mid level
Company Description Since 1934, Rossi Builders has been a recognized leader in San Francisco construction. We deliver successful construction solutions and customer value through superior effort and exceptional communica…
San Francisco, California, United States · On-site
$230k–$330k/yr
Senior$500K raised
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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
$119k–$160k/yr
Mid level$1.6B raised
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San Francisco, California, United States · On-site
$157k–$200k/yr
Senior$1.6B raised
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San Francisco, California, United States · On-site
$165k–$205k/yr
Senior$891M raised
Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive…
San Francisco, California, United States · On-site
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Senior+$891M raised
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Skills: People Management, Technical Strategy, System Architecture, API Design, Distributed Systems
Improve the performance and scaling of Ray Data for multi-modal batch inference and production training workloads. Focus on ensuring stability, fault tolerance, and efficiency for AI-native companies scaling their workloads.
Requirements
Requires 3-4 years of relevant experience with a solid background in building scalable, fault-tolerant distributed systems. Candidates should have experience with database internals and a passion for large-scale AI system performance.
Full job description
About Anyscale:
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data.
The Ray Data team currently develops and maintains Ray Data. We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads.
As part of this role, you will:
Improve the performance of Ray Data and multi-modal batch inference use cases.
Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment.
Building data loading solutions for production training workloads.
Focus on stability and fault tolerance at high scale
Working with customers and new age AI native companies in scaling their AI workloads.
We'd love to hear from you if have:
At least 3-4 years of relevant work experience
Solid background in building scalable and fault-tolerant distributed systems
Experience with data processing, database internals.
Passionate about large scale systems and performance for AI.
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Scalable compute for AI and Python. Creators of Ray distributed compute framework.
Industry
Software Development
Company size
201-500 employees
Founded
2019
Headquarters
San Francisco, California
LinkedIn followers
61,138
Total funding
$260M
Anyscale enables Python developers to build and run all their AI—from data prep to training and inference—at any scale. Anyscale is trusted by leading AI teams at Canva, TripAdvisor, Physical Intelligence, Coinbase and more.
Offices: 600 Harrison St, San Francisco, California 94107, US · 411 High St, Palo Alto, California 94301, US
How much do Engineering jobs in San Francisco, CA pay?
Based on 2822 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$284k per year. Individual offers vary with seniority, company size, and specialization.
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