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Product Counsel, Gemini Models, DeepMind

Google

Product Counsel, Gemini Models, DeepMind

Google

·

On-site

·

Full-time

·

1w ago

  • Be the go-to counsel for several Google Deep Mind Research and Engineering teams who you will partner with to develop and align models that are part of the Gemini model family or related model families.

  • Monitor and interpret emerging regulations, laws, and commitments that impact the development and release of Gemini models. Establish practical governance frameworks for Gemini model development, including for training and alignment, evaluations, new capabilities, research, data, and other assets.

  • Advise executive management on risks associated with AI research direction and existing governance frameworks. Present creative, flexible options to mitigate or eliminate those risks at scale.

  • Collaborate with and advise cross-functional groups within Google Deep Mind, including Research, Engineering, Product Management, Security, Privacy, Responsibility, and Compliance teams to improve or establish governance frameworks for forthcoming regulatory or legal changes that impact model lifecycles.

  • JD, LL.B., equivalent degree, or equivalent practical experience.

  • 7 years of attorney-level experience in government, in-house, or at a law firm.

  • Experience in partnering with executives on legal matters.

  • Experience advising on legal and regulatory frameworks relevant to the full model lifecycle, as well as general privacy and consumer protection regulations ( e.g., EU AI Act, GDPR, CCPA, Digital Markets Act).

  • Admitted to the bar and in good standing or otherwise authorized to practice law (e.g., have registered in-house status) in the state in which the position is located.

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About Google

Google

Google

Public

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

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense