Deep Learning Performance Engineer

Details of the offer

About Anyscale:

AtAnyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializingRay, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies likeOpenAI,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.

Proud to be backed byAndreessen Horowitz, NEA, and Additionwith$250+ million raised to date.

About the role

As a Deep Learning Performance Engineer, you will help build systems and optimizations that push the boundaries of performance across cutting edge ML models. This is an incredibly critical role to Anyscale as it allows us to provide market leading performance and price point for AI infrastructure.
As part of this role, you will

Iterate very quickly with product teams to ship the latest optimizations to Anyscale platform, Anyscale Endpoints, and various open source offerings.
Work closely with research teams on LLM engines like vLLM, TensorRT-LLM
Follow the latest state-of-the-art in the open source and the research community, implementing and extending best practices
We'd love to hear from you if you have

Prior experience working on GPUs / CUDA
Solid understanding of operating systems and/or networking fundamentals and experience in such optimizations
Familiarity with deep learning and deep learning frameworks (e.g. PyTorch)
Bonus points!

ML Systems knowledge
Experience training deep learning models
Contributions to deep learning frameworks (PyTorch, TensorFlow)
Contributions to deep learning compilers (Triton, TVM, MLIR)
Experience using Ray
Compensation

At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:
Stock Options
Healthcare plans, with premiums covered by Anyscale at 99%
401k Retirement Plan
Wellness stipend
Education stipend
Paid Parental Leave
Flexible Time Off
Commute reimbursement
100% of in-office meals covered
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.

Anyscale Inc. is an E-Verify company and you may review theNotice of E-Verify Participationand theRight to Work posters in English and Spanish


Nominal Salary: To be agreed

Source: Lever_Co

Job Function:

Requirements

Scientist, Project Engineering

Job Title: Scientist, Project Engineering Job Code: 17678 Job Location: Multiple locations available, work must be done onsite, relocation can be provided fo...


L3Harris Technologies - California

Published 4 days ago

Associate Director - Signature Management & Technology Design Engineer

Date Posted: 2024-10-18 Country: United States of America Location: AZ827: RMS AP Bldg 827C 1151 East Hermans Road Building 827C, Tucson, AZ, 85756 USA Posit...


Raytheon - California

Published 4 days ago

Manufacturing Engineer I

Date Posted: 2024-11-06 Country: United States of America Location: AZ201: RMS AP Bldg 801 1151 East Hermans Road Building 801, Tucson, AZ, 85756 USA Positio...


Raytheon - California

Published 4 days ago

Mechanical Engineer, Powertrain Integration

Rise above. Are you ready to take human possibility to a new dimension with us? Supernal is an Advanced Air Mobility (AAM) company that's developing an elect...


Supernal - California

Published 4 days ago

Built at: 2024-11-14T23:24:19.497Z