Audio Software Engineer, Applied Scientist

About the role

**Summary:**

At Meta, we're building products that revolutionize the way people connect, work, and play. Our audio teams are at the forefront of this innovation, developing audio technologies that advance the way we experience sound in virtual and augmented worlds.Our teams are dedicated to creating a collaborative and supportive environment where self-motivated individuals thrive. We encourage ownership, creativity, and collaboration, and we're focused on bringing novel audio experiences to production.Join us on this adventure: As a member of our audio team, you'll collaborate with a team focused on advancing audio technology across Meta's products.

**Required Skills:**

Audio Software Engineer, Applied Scientist Responsibilities:

1. Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions

2. Create clean readable code, debug complex problems, prioritize effectively based on impact and urgency and get things done with a high level of efficiency

3. Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of problem solving

4. Develop audio software for a variety of consumer products and devices

**Minimum Qualifications:**

Minimum Qualifications:

5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

6. 5+ years software development experience in industry settings or PhD with 2+ years of experience

7. 3+ years relevant audio software engineering experience in industry settings

8. C or C++ experience, including use of C++11/14/17 features

9. Experience communicating technical decisions to cross-functional partners and collaborating across disciplines to deliver solutions

**Preferred Qualifications:**

Preferred Qualifications:

10. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

11. Experience with audio signal processing and auditory perception, both classical and machine learned techniques

12. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

13. Proven track record of innovation as demonstrated by products shipped, publications and/or patents

14. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

15. Experience with GenAI

**Industry:** Internet

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Virtual, USA

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