Jobs Google

Google

Phoenix (AZ)

On-site

USD 57,308,000 - 85,962,000

Full time

14 days+

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Job summary

Google in Phoenix, USA is seeking an Audio/ML Staff Software Engineer to advance real-time, low-latency audio ML pipelines and to develop novel ML models for audio processing. You will own key subsystems and work with researchers and engineers across teams in a fast-paced, matrixed environment.

You will drive ML-based dereverberation, audio quality assessment, and scalable pipelines while shaping the direction of the project and contributing to product delivery within Google's expansive

Qualifications

  • Four year college education or equivalent experience.
  • 2 years of programming experience and data structures/algorithms.
  • 2 years of ML-based audio signal processing experience.
  • Experience with ML for dereverberation and audio quality assessment.
  • Experience building real-time, low-latency, resource-constrained audio/ML pipelines.

Responsibilities

  • Oversee project needs, deadlines, and expectations.
  • Own and implement key subsystems of ML-for-audio signal processing.
  • Contribute to planning and design of the overall audio pipeline.
  • Identify and drive cross-functional opportunities, focusing on ML development.
  • Advance product development and reliability of audio processing.

Skills

ML-based audio processing
Real-time audio pipelines
Cross-functional collaboration
System design
ML research

Education

Bachelor's degree or equivalent

Job description

Job Responsibilities

Audio/ML Staff Software Engineer Salary: $20-30 Hour Company: Google Location: Phoenix, USA Educational Requirements: Bachelor Degree Full Job Description: Least capabilities: Four year college education or identical reasonable experience. 2 years of involvement with programming advancement, and with information structures/calculations. 2 years of involvement in ML-based sound sign handling. Favored capabilities: 2 years of involvement with a specialized influential position driving undertaking groups and setting specialized bearing. 2 years of involvement working in a complex, matrixed association including cross-utilitarian or cross-business projects. Experience with ML-for-dereverberation executions. Experience with sound quality appraisal (both electro-acoustic and human-audience/psychoacoustic evaluations). Experience in the improvement of realtime, low-idleness, asset restricted sound/ML-handling pipelines. About the gig Google's programmers foster the cutting edge innovations that change how billions of clients associate, investigate, and connect with data and each other. Our items need to deal with data at enormous scope, and expand well past web search. We\'re searching for engineers who bring new thoughts from all areas, including data recovery, conveyed registering, huge scope framework configuration, systems administration and information stockpiling, security, man-made reasoning, regular language handling, UI plan and portable; the rundown continues and is developing consistently. As a computer programmer, you will chip away at a particular venture basic to research\'s requirements with valuable chances to switch groups and tasks as you and our high speed business develop and advance. We really want our designers to be adaptable, show authority characteristics and be excited to take on new issues across the full-stack as we keep on pushing innovation forward. In this job, you will you help to keep up with and further develop our current sound innovation, and add to the plan and execution of new subsystems and novel advances inside our sound pipeline, with a specific spotlight on creating redid ML handling/models/calculations for our item. Project Starline from Google joins propels in equipment and programming to empower companions, families and collaborators to feel together, in any event, when they\'re urban communities (or nations) separated. Envision glancing through an enchanted window, and through that window, you see someone else, life-size and in three-aspects. As a feature of the Undertaking Starline group, you\'ll work with scientists and designers in a quick moving item situated climate. Our groups team up intimately with Google Work area and Exploration groups. Your commitments will affect the fate of correspondences with Google items. You will apply innovation to take care of that truly significant issue that we frequently need to be together and we can\'t.

Obligations
  • Oversee project needs, cutoff times, and expectations.
  • Own (plan, carry out, test/approve) key subsystems of ML-for-sound sign handling pipeline.
  • Contribute effectively to the preparation and plan for the general sound guide.
  • Recognize and drive forward cross-useful open doors/cooperations with exceptional spotlight on ML improvement.
  • Drive the item advancement and dependability forward (better quality, novel handling, bug emergency/relief, and so on.).
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