ML Audio Engineer
Tel Aviv, Israel (ZIL87)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, train, and iterate on deep learning models for acoustic classification
Build and maintain the data pipeline: field recordings, augmentation, labeling
Optimize models for edge deployment to meet latency and power budgets
Enhance and optimize audio lineups for sound classification
Run MLOps stack: training infra, experiment tracking, deployed-model monitoring
From the employer’s posting
Design, train, and iterate on deep learning models for acoustic classification against noisy real-world audio.
Build and maintain the data pipeline: field recordings, augmentation, labeling, dataset versioning.
Optimize models for edge deployment to meet latency and power budgets.
Enhance and optimize audio lineups for sound classification
MLOps stack: training infra, experiment tracking, reproducible pipelines, deployed-model monitoring.
What you’ll bring
All qualificationsCore experience
- Experience with audio processing, microphone arrays
Qualification wording
Experience with audio processing, microphone arrays
Posting record
Report an errorActively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 9 days ago
- Recorded sightings
- 38
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on motorolasolutions.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
We work at the intersection of deep learning, audio signal processing, and edge computing. You'll join a small team who owns detection and classification models end-to-end — from data pipeline through training to optimized inference on embedded hardware.
Job Description
What you'll do
- Design, train, and iterate on deep learning models for acoustic classification against noisy real-world audio.
- Enhance and optimize audio lineups for sound classification
- Build and maintain the data pipeline: field recordings, augmentation, labeling, dataset versioning.
- Optimize models for edge deployment to meet latency and power budgets.
- MLOps stack: training infra, experiment tracking, reproducible pipelines, deployed-model monitoring.
Why this role
Small team, broad ownership, short loop between model and field. Super interesting job. Your work directly determines whether the system meets its targets.
Basic Requirements
Required
- 2–5 yrs ML engineering
- B.Sc in EE or Computer Science
- Experience with audio processing, microphone arrays
- Hands-on model deployment to constrained hardware (quantization, conversion, runtime tuning).
- MLOps practices experience: dataset versioning, experiment tracking, reproducible training.
Nice to have
- Beamforming, Acoustic event detection, sound classification, or related DSP-heavy ML.
- Comfort with field work and iterating on hardware.
Travel Requirements
None
Relocation Provided
None
Position Type
ExperiencedReferral Payment Plan
NoCompany
Motorola Solutions Israel LimitedEEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tel Aviv, Israel (ZIL87)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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