トレンド企業

Google
Google

Organizing the world's information and making it universally accessible.

Senior Staff Engineer, Storage, AI/ML, Solutions

職種機械学習
経験Staff+
勤務オンサイト
雇用正社員
掲載3週間前
応募する
  • Develop and enhance AI/ML client libraries for storage.

  • Lead the team to design, develop, and tune benchmarks for GCP Storage systems, positioning GCP Storage as the premier solution for AI/ML workloads.

  • Assist key customers in onboarding their AI/ML workloads onto GCP storage.

  • Work closely with cross-functional teams across GCP including Core GCS, File Solutions, GKE, Cloud ML Compute Services (CMCS), and Networking to drive storage innovation for AI/ML.

  • Bachelor’s degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 7 years of experience in building and developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage, or hardware architecture.

  • 5 years of experience with design and architecture; and testing/launching software products.

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Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

10件のレビュー

4.5

10件のレビュー

ワークライフバランス

3.2

報酬

4.3

企業文化

4.1

キャリア

4.2

経営陣

3.8

82%

知人への推奨率

良い点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

改善点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

給与レンジ

57,503件のデータ

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接レビュー

レビュー9件

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense