> Markdown version of [/jobs/ext/3991452-software-engineer-audio-applied-scientist](https://www.wearedevelopers.com/jobs/ext/3991452-software-engineer-audio-applied-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Audio Applied Scientist - **Company:** The Meta Game, Inc. - **Location:** Burlingame, CA, United States - **Experience:** Experienced - **Salary:** $154,003.0 - $217,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Audio Signal Processing, C++ (Programming Language), Computer Engineering, Noise Reduction, Software Design Documents, Python (Programming Language), MATLAB, Machine Learning, Signal Processing, Software Engineering, Prompt Engineering, Generative AI, Information Technology, Machine Learning Operations - **Published:** October 28, 2026 - **Apply:** https://dejobs.org/x/x/2EB8DF274EDE47BBA938E9FF59DD15B3/job/ ## About the Role 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Solid understanding in fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML) 9. 5+ years of software development experience in audio, signal processing, or related technical domains 10. 3+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings 11. Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams 12. Experience with C or C++ and with scientific programming languages such as MATLAB, Python or similar 13. Experience in any of the following areas: Small footprint ML, Differential DSP, Echo/Noise reduction, Spatial Processing, Hearing Aids 14. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications: Preferred Qualifications: 15. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 17. MS or PhD in Electrical Engineering, Computer Science or equivalent 18. Proven track record of innovation as demonstrated by products shipped, publications and/or patents 19. Expertise in audio signal processing both classical and machine learning techniques 20. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 21. Experience developing GenAI systems 22. Experience communicating technical concepts to peers, partners, and non-technical stakeholders through written and verbal channels (e.g., design docs, presentations, cross-functional reviews) ## Description 1. Research, design, and develop advanced signal processing algorithms with application to speech and audio 2. Define and build new algorithms and add enhancements to existing algorithms to support human listening, machine listening, and other new experiences for communications 3. Build specialized Machine Learning (ML) for resource constrained platforms (e.g., mobile/wearables). Explore new paradigms in AI and Machine Learning 4. Hands-on implementation and optimization of algorithms for classical DSP and ML inference engines 5. Contribute to roadmap planning for the next generation of platforms 6. Collaborate with other researchers/scientists, engineers, cross-functional partners from multiple disciplines