Senior Software Developer, Machine Learning

Google

Mountain View, CA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI) Programming Languages, Audiovisual, CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing), Computer Science, Computer Vision, Ecosystems, Electrical Engineering, Equal Employment Opportunity (EEO), Image Processing, Machine Learning, Modeling Languages, Multimedia, Open Source, Performance Management, Production Machining, Programming Languages, Realtime Communications, Signal Processing, Software Development, Video Compression, Video Processing
LOCATION
Mountain View, CA
POSTED
30+ days ago
This posting is for a new vacancy.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada.

Minimum qualifications:

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • 5 years of experience in software development using one or more programming languages.
  • 2 years of experience with machine learning algorithms and tools, building production quality machine learning (ML) systems and infrastructure.
  • Experience in one or more of the following: video compression, video processing, video encoding, or video decoding.

Preferred qualifications:

  • Master’s degree or PhD in Electrical Engineering, Computer Science, or a related technical field.
  • Experience with image processing, computer vision, or machine learning applications.
  • Experience in one or more of the following: signal/image processing, computer vision, or real-time communication.
  • Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models).

About the job

The Open Codecs team at Google advances the media compression technology for Google and the industry. Our mission is to make the best compression technology universally available, enabling the efficient delivery of video, image, audio, and extended reality (XR) over the internet. In this role, you will be managing forces behind open source projects such as VP9, AV1, AV2, WebP, AVIF, Lyra, and Draco. The technology developed by the team has helped billions of people around the world connect, work, study and live.

Billions of people watch and produce hours of media daily, and compression technology is essential for delivering these rich experiences. The video compression industry is at an inflection point, ready to embrace machine learning-based algorithms for next-generation standards to achieve advanced efficiency gains over the state-of-the-art.

As a video codec developer, you will develop groundbreaking, high-performance video coding algorithms for Google and the broader ecosystem. Your inventions will contribute directly to drive the entire industry forward and improve media experiences for billions of users every day.

For Unites States Applicants:
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
For Canada Applicants:
The Canada base salary range for this full-time position is CAD 182,000-187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Innovate technologies and algorithms for video compression.
  • Develop innovative algorithms that improve the compression efficiency and reduce the computational complexity for video compression.
  • Work with experts to standardize technology into a next-generation standard.
  • Develop novel video compression algorithms to improve codec performance for both camera-captured and generative contents.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V