ML Audio Engineer

Motorola Solutions · תל אביב-יפו

AI / ML · דאטה ו-AIפורסמה ב-19.10.2026משרה מלאהנבדק היום – עדיין פתוחה

Motorola Solutions מגייסת ML Audio Engineer בתל אביב-יפו. המשרה פורסמה באתר החברה ב-19.10.2026 ופתוחה 9 ימים. ל-Motorola Solutions יש כרגע 13 משרות פתוחות בישראל.

תחום
מהנדסי/ות AI ולמידת מכונה
השכלה
תואר ראשון (לפי תיאור המשרה)
מחלקה
Engineering & Sciences
מיקום
תל אביב-יפו
על העיר
נתוני תל אביב-יפו – עיר אמת

על המשרה

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.

מקור: עמוד המשרות של Motorola Solutions (Workday)המשרה באתר החברה (נפתח בכרטיסייה חדשה)נבדק לאחרונה: 28.10.2026 13:22

המודעה פורסמה על ידי Motorola Solutions ובאחריותה. אנחנו לא מסננים לפי גיל, מגדר, דת או מוצא. משרה שנראית לכם מפלה או שגויה? דיווח על משרה · נציג/ת החברה? עדכון או הסרה

עוד משרות ב-Motorola Solutions (12)

כל 13 המשרות ב-Motorola Solutions

משרות דומות

כל משרות AI / ML