トレンド企業

Google
Google

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

Student Researcher, PhD, Winter/Summer 2026

職種エンジニアリング
経験ミドル級
勤務オンサイト
雇用正社員
掲載3週間前
応募する
  • Participate in research to develop solutions for real-world, large-scale problems.

Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The anticipated application window is open until July 17, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once the role is closed/projects are full will not be considered.

Participation in this program requires that you are located in the United States for the duration of the engagement.

This opportunity is intended for students who are pursuing a PhD degree program in Computer Science or a related field. Our Student Researcher opportunities are flexible in time commitment, length of opportunity, and onsite/remote nature, depending on the specific project and host needs. Start dates for this role are typically January through July.

This program is intended for students who will not be seeking full time employment following this role, as this program is non-conversion eligible.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred).

Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on the resume.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance

  • Retirement Benefits: 401(k) with company match

  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance

  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

  • Baby Bonding Leave: 18 weeks

  • Holidays: 13 paid days per year

  • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.

  • Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).

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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

Mid/L4

Mid/L4 · Accessibility Analyst

1件のレポート

$214,500

年収総額

基本給

$165,000

ストック

-

ボーナス

-

$214,500

$214,500

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