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Contractual Applied Engineer Jobs (NOW HIRING)

Software Engineer

Annapolis, MD · On-site

$100K - $185K/yr

At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking ... not limited to contractual requirements, work location, years of experience, skill set, and ...

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How much do contractual applied engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for contractual applied engineer in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.
What cities are hiring for Contractual Applied Engineer jobs? Cities with the most Contractual Applied Engineer job openings:
What are the most commonly searched types of Applied Engineer jobs? The most popular types of Applied Engineer jobs are:
What states have the most Contractual Applied Engineer jobs? States with the most job openings for Contractual Applied Engineer jobs include:
Infographic showing various Contractual Applied Engineer job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 7% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,952 per year, or $59.6 per hour.

Applied AI Engineer, Audio, XR

Google

Mountain View, CA

Full-time

Posted 10 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 4 years of experience working in a Machine Learning technical environment.

Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience designing and implementing real-time ML based voice processing algorithms for embedded systems or mobile platforms.
  • Technical leadership experience: setting direction, driving business impact.
  • Expertise in generative AI and speech research, including first-author publications at top AI conferences (e.g., NeurIPS, ICML, InterSpeech, etc.).
  • Proven track record of optimizing algorithms for performance and low latency.

About the job
As an Applied AI Engineer in the Audio Applied AI Research and Innovation team, you will be at the forefront of defining the future of audio for the Pixel ecosystem. Our mission is to push the boundaries of audio AI, advancing the state-of-the-art in playback, capture, generation, enhancement, and ambient understanding. This role is defined by research-driven innovation and strong engineering principles, where you will bridge the gap between fundamental AI research and deployment in hardware-constrained environments. You will conduct applied research to solve complex audio challenges, working in a highly collaborative environment with cross-functional hardware and software teams to translate research breakthroughs into impactful features for phones, wearables, and future devices.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Innovate in audio machine learning through fundamental and applied research, advancing the state-of-the-art in audio playback, capture, generation, and editing.
  • Research and develop novel ML models for speech recognition, text-to-speech generation, and real-time speech enhancement.
  • Design and implement generative models specifically for signal restoration, enhancement, and ambient audio understanding.
  • Architect, prototype, and scale robust ML architectures for deployment across on-device (mobile/wearable) and cloud platforms.
  • Collaborate with cross-functional hardware and software teams to translate research breakthroughs into integrated product features.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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