User Experience Engineer Job Google

Google; Little Rock (AR); On-site; USD 24,796 - 41,328; Full time

Job summary

Google is seeking a Software Engineer in Little Rock, USA, to contribute to the Google Cloud Platform with emphasis on large-scale AI/ML capabilities. You will work on enabling clients to adopt AI accelerators, run benchmarks, and optimize model performance.

The role involves collaboration with Cloud AI teams to deliver cost-efficient, scalable cloud solutions. The position expects a bachelor’s degree and hands-on programming experience, including exposure to ML tooling and profilers.

Qualifications

• Four year certification or comparable down to earth insight.
• 2 years of involvement with programming advancement, and with information structures/calculations.
• Experience preparing and calibrating huge models with gas pedals and running MLPerf benchmarks.
• Experience with execution profiling apparatuses (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard).
• Experience planning/architecting enormous scope foundation ranches for expert man-made intelligence use cases.

Responsibilities

• Act as a believed counsel to our clients, helping them get it and integrate simulated intelligence gas pedals into their general cloud technique by suggesting relocation ways, mix procedures, and application engineering that consolidate Google Cloud artificial intelligence streamlined foundation.
• Exhibit how Google Cloud is separated, featuring the force of gas pedals by working with clients on POCs, showing highlights, advancing model execution, profiling, and seat checking.
• Fabricate repeatable resources for empower different clients and inner groups.
• Impact Google Cloud system at the crossing point of framework and computer based intelligence/ML by upholding for big business client prerequisites.
• Go to client locales and occasions on a case by case basis.

Skills

Programming experience

Data structures/algorithms

ML model benchmarking

Execution profiling tools

Education

Bachelor Degree

Tools

TensorFlow profiler

PyTorch profiler

TensorBoard

Job description

Job Title

Software Engineer

Company

Google

Location

Little Rock, USA

Salary

$20-30 Hour

Educational Requirements

Bachelor Degree

Full Job Description

Least capabilities:Four year certification or comparable down to earth insight.2 years of involvement with programming advancement, and with information structures/calculations.Favored capabilities:Experience preparing and calibrating huge models (e.g., picture, language, division, proposal, genomics) with gas pedals and running MLPerf benchmarks.Experience with execution profiling apparatuses (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard).Experience with disseminated preparing and advancing execution versus costs.Experience planning/architecting enormous scope foundation ranches for expert man-made intelligence use cases.Capacity to draw in with C-level or senior business pioneers and impact choices.Dynamic US Government Top Secret/Touchy Compartmentalized Data (TS/SCI) Exceptional status.About The Gig The Google Cloud Stage group helps clients change and fabricate what's next for their business — all with innovation worked in the cloud. Our items are designed for security, dependability and adaptability, running the full stack from framework to applications to gadgets and equipment. Our groups are committed to aiding our clients — engineers, little and enormous organizations, instructive foundations and government organizations — see the advantages of our innovation show some signs of life. As a feature of an enterprising group in this quickly developing business, you will assume a vital part in understanding the necessities of our clients and assist with forming the eventual fate of organizations of all sizes use innovation to associate with clients, representatives and accomplices. Inside Google Public Area, the US Administrative group are specialists on assisting US Government organizations with changing their central goal to all the more likely serve individuals. Our group sorts out some way to bring the best of Google Cloud to the one of a kind climate in the US Government. In this job, you will recognize and evaluate huge scope man-made intelligence amazing open doors that would profit from simulated intelligence advanced foundation. You will assist clients with utilizing gas pedals inside their general cloud methodology by aiding run benchmarks for existing models, tracking down valuable chances to involve gas pedals for new models, creating movement ways, and assisting with examining cost to execution. En route, you would work intimately with inside Cloud man-made intelligence groups to eliminate barriers and shape future contributions. Google Cloud speeds up associations' capacity to change their business with the best foundation, stage, industry arrangements and aptitude carefully. We convey undertaking grade arrangements that influence Google's state of the art innovation - all on the cleanest cloud in the business. Clients in excess of 200 nations and regions go to research Cloud as their confided in accomplice to empower development and tackle their most basic business issues.

Obligations

• Act as a believed counsel to our clients, helping them get it and integrate simulated intelligence gas pedals into their general cloud technique by suggesting relocation ways, mix procedures, and application engineering that consolidate Google Cloud artificial intelligence streamlined foundation.
• Exhibit how Google Cloud is separated, featuring the force of gas pedals by working with clients on POCs, showing highlights, advancing model execution, profiling, and seat checking.
• Fabricate repeatable resources for empower different clients and inner groups.
• Impact Google Cloud system at the crossing point of framework and computer based intelligence/ML by upholding for big business client prerequisites.
• Go to client locales and occasions on a case by case basis.

EEO Statement

Google is glad to be an equivalent open door work environment and is a governmental policy regarding minorities in society manager. We are resolved to approach work opportunity paying little mind to race, variety, family, religion, sex, public beginning, sexual direction, age, citizenship, conjugal status, incapacity, orientation character or Veteran status. We likewise consider qualified candidates paying little heed to criminal narratives, reliable with lawful prerequisites. See additionally Google's EEO Strategy and EEO is the Law. In the event that you have a handicap or extraordinary need that requires convenience, if it's not too much trouble, let us in on by finishing our Facilities for Candidates structure.