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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
Apply at Motorola

What you’ll work on

Full posting
  • Design, 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 qualifications

Core experience

  • Experience with audio processing, microphone arrays
Qualification wording
Experience with audio processing, microphone arrays

Posting record

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Actively 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

View original posting ↗

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

Experienced

Referral Payment Plan

No

Company

Motorola Solutions Israel Limited

EEO 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

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Location & working pattern

Tel Aviv, Israel (ZIL87)

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