{"id":2896898,"url":"https://alion.io/job/motorola-solutions-ml-audio-engineer","title":"ML Audio Engineer","company":{"id":1504,"name":"Motorola Solutions","domain":"motorolasolutions.com","url":"https://alion.io/company/motorola-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":165,"ghost_share":0,"stale_share":0.582,"repost_share":0.024,"time_to_fill_p50_days":38,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Quantization","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-28T16:35:51Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Company Overview\nAt 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.\nDepartment Overview\nWe 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\nWhat you'll do\nDesign, train, and iterate on deep learning models for acoustic classification against noisy real-world audio.\nEnhance and optimize audio lineups for sound classification\nBuild and maintain the data pipeline: field recordings, augmentation, labeling, dataset versioning.\nOptimize models for edge deployment to meet latency and power budgets.\nMLOps stack: training infra, experiment tracking, reproducible pipelines, deployed-model monitoring.\nWhy this role\nSmall team, broad ownership, short loop between model and field. Super interesting job. Your work directly determines whether the system meets its targets.\nBasic Requirements\nRequired\n2-5 yrs ML engineering\nB.Sc in EE or Computer Science\nExperience with audio processing, microphone arrays\nHands-on model deployment to constrained hardware (quantization, conversion, runtime tuning).\nMLOps practices experience: dataset versioning, experiment tracking, reproducible training.\nNice to have\nBeamforming, Acoustic event detection, sound classification, or related DSP-heavy ML.\nComfort with field work and iterating on hardware.\nTravel Requirements\nNoneRelocation Provided\nNonePosition Type\nExperiencedReferral Payment Plan\nNoCompany\nMotorola Solutions Israel LimitedEEO Statement\nMotorola 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.\nWe 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. 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