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AI Job Summary

Build and ship code for YouTube's dubbing platform, enabling creators to dub content at scale using advanced AI technologies. Requires a bachelor's degree, five years of software development experience, three years shipping products, and one year designing software architecture. You'll need ML product prototyping experience and expertise building user-facing services. Work involves collaborating with research and infrastructure teams, establishing evaluation frameworks, and rapidly prototyping solutions that scale across YouTube.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Write and test product or system development code. 
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Develop an innovative and successful Dubbing experience for YouTube creators that makes it possible to dub at scale with state of the art technology (e.g., Gemini, Omni).
  • Collaborate with partner teams, such as Google Deepmind and YouTube Infrastructure teams, on rapid prototyping and bring the research to reality with solutions that can scale across YouTube.
  • Establish evaluation frameworks, including AutoRaters to measure and iterate quickly.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience prototyping and shipping ML products.
  • Experience designing and developing services catering user-facing traffic.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 3 years of experience with applied ML and scaling the product.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.
  • Knowledge/interest in video accessibility (dubbing, captions, translations).
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience prototyping and shipping ML products.
  • Experience designing and developing services catering user-facing traffic.
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  • Role Senior Software Engineer, Applied Research, YouTube Languages Capabilities
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 272K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 34 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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