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Senior AI Engineer, Computer Vision and Applied ML

Google

Senior AI Engineer, Computer Vision and Applied ML

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Wellness benefits

Annual team offsites

Learning and development stipend

Health, dental, and vision coverage

Required Skills

Apache Spark

SQL

PyTorch

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.

In this role, you will bridge the gap between model research and end-user application. You will not only fine tune models for our specific domain but also build the actual web and mobile interfaces. You will work with teams to establish the AI pipeline from data curation to edge deployment, creating immersive camera based experiences that provide real-time instructions and feedback.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Build responsive web apps and mobile apps to host the AI models, and develop a video analysis viewer that allows side-by-side comparison of input video vs processed output to visualize model performance.

  • Design and implement the interaction I/O interface, ensuring intuitive user inputs and clear, actionable AI outputs.

  • Implement real time inference loops or on-device mobile inference engines and develop live instruction indicators using Augmented Reality (AR) style overlays and visual guides to direct users on live camera feeds.

  • Manage camera lifecycle management to ensure smooth frame capture and processing without draining battery or freezing the UI.

  • Modify foundation models specifically for multimedia use cases and optimize models for edge deployment (quantization, pruning, distillation) to ensure low latency on mobile devices and web browsers.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in programming languages such as C++, Python, Kotlin, Typescript, Tensor Flow, Jax for image processing and automation tasks.

  • 3 years of experience in Image Signal Processor (ISP) processing, Android application, desktop program, Machine Learning (ML) application, web based app development.

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Science, Image Processing, Machine Learning, or a related field.

  • 8 years of experience in image processing algorithms, with significant contributions to mobile camera application development, camera or video related Android application development.

  • Familiarity with the end-to-end product development lifecycle for mobile phones, particularly concerning camera features.

  • Familiarity with the AI application integration and ML model fine tune and optimization.

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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