2

Part Time Audio Signal Processing Machine Learning Jobs

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

AI/ML Engineer

Arlington, VA · On-site

$77K - $176K/yr

As an machine learning engineer, you understand good software is more than just a good user ... deep learning, computer vision, neural networks, NLP, or signal processing * Secret clearance

Our technology combines novel sensing hardware with advanced signal processing and machine learning ... About the Job As the Clinical Affairs Manager (Part-Time) , you will lead clinical affairs and ...

WE WILL NOT START THE INTERVIEW PROCESS UNTIL MID-AUGUST WITH AN ANTICIPATED START DATE OF MID ... The Orlando Magic part-time Event AV Tech assists in delivering high-level audio-visual support for ...

$14.75 - $19.75/hr

... areas of signal processing, data analysis, and test & evaluation. ARL is an authorized DoD ... machine learning and artificial intelligence * Assist with the design, assembly, and testing of ...

next page

Showing results 1-20

Part Time Audio Signal Processing Machine Learning information

See salary details

$53.5K

$131.3K

$193.5K

How much do part time audio signal processing machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for part time audio signal processing machine learning in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Audio Signal Processing Machine Learning vs Part Time Audio Engineering?

AspectPart Time Audio Signal Processing Machine LearningPart Time Audio Engineering
Required SkillsAudio signal processing, machine learning, programmingSound recording, mixing, live sound, equipment operation
Work EnvironmentResearch labs, tech companies, software developmentRecording studios, live venues, broadcast stations
CertificationsAudio processing, machine learning certifications, programming coursesAudio engineering degrees, certification programs
Industry UsageTech, research, AI-driven audio applicationsMusic, broadcasting, live events

Part Time Audio Signal Processing Machine Learning focuses on developing algorithms for audio analysis and enhancement using machine learning techniques, often in research or tech settings. In contrast, Part Time Audio Engineering involves hands-on work with sound recording, mixing, and live sound management. While both roles require audio knowledge, the former emphasizes technical programming skills, whereas the latter centers on practical audio production skills.

More about Part Time Audio Signal Processing Machine Learning jobs
What are the most commonly searched types of Audio Signal Processing Machine Learning jobs? The most popular types of Audio Signal Processing Machine Learning jobs are:
What job categories do people searching Part Time Audio Signal Processing Machine Learning jobs look for? The top searched job categories for Part Time Audio Signal Processing Machine Learning jobs are:
Senior Consultant - Computational Aerothermodynamics & Machine Learning

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates

Hampton, VA

$59 - $69/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

Job Description:

56-$69 Analytical Mechanics Associates (AMA)is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML).

Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.

The hourly rate for this position is $59-$69 an hour commensurate with experience and education.

Key Responsibilities:
  • Technical Advisory:Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.

  • Machine Learning Integration:Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.

  • Design & Architecture Review:Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.

  • Strategic Roadmapping:Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.

  • Mentorship & Collaboration:Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Required Qualifications:
  • Education:Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.

  • Experience:A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.

  • Domain Expertise:Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).

  • Machine Learning Proficiency:Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.

  • Communication:Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications:
  • Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).

  • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).

  • Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.

  • History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

This position requires U.S. Citizenship or Permanent Residence.


Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.