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Senior Staff Software Engineer, AI/ML

Google

Senior Staff Software Engineer, AI/ML

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Team events and activities

401(k) matching

Parental leave

Comprehensive health, dental, and vision insurance

Equity

Parental Leave

Healthcare

Required Skills

Node.js

Python

PostgreSQL

About the job

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.

As a Senior Staff Software Engineer on the Applied AI team, you will be important in shaping the future of AI-driven products at Google. You will be responsible for developing technologies and applying expertise to solve business problems. You will collaborate with other Engineers to push the boundaries of what's possible with AI.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google Deep Mind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

  • Develop Artificial Intelligence (AI) platforms and applications for Google Cloud's enterprise customers.

  • Grow in a changing environment solving issues and delivering solutions.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience with software development in one or more programming languages.

  • 7 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • 5 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), or specialization in another ML field.

  • 5 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging) or large-scale distributed systems.

Preferred qualifications

  • 8 years of experience with data structures or algorithms.

  • Experience with the whole web stack, including protocols and web server optimization techniques.

  • Experience in large-scale system design, artificial intelligence, or machine learning.

  • Knowledge of modern react-style web development.

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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

63,375 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 / 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