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Google
Google

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

Senior Software Engineer, AI/ML, LLM Modeling

RoleMachine Learning
LevelSenior
WorkOn-site
TypeFull-time
Posted3 weeks ago
Apply now
  • Propose new modeling ideas and test them in the real world.

  • Collect training data, and evaluate its quality.

  • Design and build evaluations.

  • Deploy models to production, measure and optimize their latency.

  • Run evaluations, analyze results and suggest modeling improvements.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The team works on new ways to search, with a focus on Large Language Models (LLM) modeling. Our work revolves around training LLM models, reinforcement learning, multi-step reasoning to various distillation techniques and contribute to different projects, over shorter timelines, our team is not tied to a specific user facing product.

In this role, you will be building new ways to use LLMs in search. You will develop new ways to do things and apply modeling techniques in the real world. You will come up with new ideas, run experiments, new ways to do retrieval, tool calling, or generate fresh content and test them in user-facing products. You will find new under-explored opportunities to apply LLMs, make them work in the real world, and collaborate with other teams.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

  • 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

  • 3 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

  • 3 years of experience with Large Language Models.

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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

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

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