{"id":1159883,"url":"https://alion.io/job/harman-international-audio-ml-engineer-research","title":"Audio ML Engineer (Research)","company":{"id":6265,"name":"HARMAN International","domain":"harman.com","url":"https://alion.io/company/harman-international","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":131,"ghost_share":0,"stale_share":0.908,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Northridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":134250,"max":196900,"currency":"USD","period":"year","gross":null,"usd_annual":196900},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LiteRT","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorFlow","optional":false},{"name":"TFLite","optional":false},{"name":"Time Series","optional":false},{"name":"CUDA","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-03-02T00:00:00Z","employer_posted_date":"2026-03-02","last_verified_at":"2026-11-04T14:30:52Z","board_verified":true,"closed_at":null,"days_open":247,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":247},"description":"A Career at HARMAN\nAs a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.\nIntroduction: A Career at HARMAN Corporate\nWe’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Corporate, you are integral to our company’s award-winning success.\nEnrich your managerial and organizational talents - from finance, quality, and supply chain to human resources, IT, sales, and strategy\nAugment your comprehensive skillset with expert training across decision-making, change management, leadership, and business development\nObtain 360-degree support throughout your career life cycle, from early-stage to seasoned leader\nAbout the Role\nThe Audio ML Engineer (Research) develops learning-based perception and personalization models that enhance Intelligent Audio experiences across devices and contexts. You will build models that understand audio scenes, predict perceptual outcomes, personalize tuning, and drive adaptive behavior-designed from the start for embedded and cloud deployment paths. In Year 1, your work is expected to feed directly into productization by delivering models that are measurable, reproducible, and deployable (or easily productizable) with clear compute/memory tradeoffs. Success means your models improve user experience in controlled testing and remain robust in the messiness of real-world use cases.\nWhat You Will Do\n Learning-Based Perception Models: Develop ML models for perception-related tasks (e.g., quality prediction, artifact detection, scene/context classification, personalization embeddings, preference modeling).\n Embedded + Cloud Deployment Focus: Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud pipelines (batch evaluation, fleet learning, offline training + on-device inference).\n Personalization & Adaptation: Build personalization and adaptation strategies that integrate with DSP pipelines (e.g., model outputs drive adaptive EQ/DRC/spatial parameters) while maintaining stability and explainability.\nData Strategy & Tooling: Define data collection and labeling strategies, data QA, augmentation, bias checks, and experiment tracking-so results are reproducible and transferable to product.\n Model Optimization: Apply compression/acceleration techniques (quantization, pruning, distillation, ONNX export, hardware-aware training) to meet latency and footprint constraints.\nCross-Functional Handoff: Partner with DSP, perceptual, and productization engineers to deliver reference pipelines, integration guidelines, and acceptance metrics for OneUX releases.\n AI Tools: Use modern AI tooling (LLM-based coding assistants, data analysis copilots, automated report generation) to accelerate iteration while keeping rigorous review and validation.\nWhat You Need to Be Successful\n Education: MS or PhD in CS/EE/Statistics/Applied ML (or BS with strong equivalent experience).\nExperience: 5+ years applied ML engineering experience; 2+ years specifically in audio/speech or time-series ML strongly preferred.\nML Stack: Strong proficiency in Python, PyTorch/TensorFlow, dataset pipelines, evaluation methodology, and experiment tracking.\nDeployment Skills: Experience deploying models to embedded (TFLite / ONNX Runtime / custom inference) and/or cloud (service or batch pipelines, MLOps practices).\nSignal + Perception Understanding: Working knowledge of DSP/audio fundamentals and how ML interacts with perceptual outcomes.\nAI Tools: Demonstrated experience using AI-assisted tools to speed up coding, testing, debugging, and documentation.\n\nBonus Points if You Have\nExperience with audio ML domains (speech enhancement, denoising, source separation, spatial audio ML, perceptual audio metrics, recommendation/personalization).\nFamiliarity with on-device acceleration (NNAPI, Core ML concepts, CUDA/TensorRT-like optimization where applicable).\nExperience with privacy-preserving learning or on-device personalization approaches.\nPatents/publications or shipped ML features in consumer/automotive audio products.\nWhat Makes You Eligible\nSuccessfully complete a background investigation and drug screen as a condition of employment (post-offer).\nWhat We Offer\nFlexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location\nAccess to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)\nExtensive training opportunities through our own HARMAN University\nCompetitive wellness benefits\nTuition reimbursement\n“Be Brilliant” employee recognition and rewards program\nAn inclusive and diverse work environment that fosters and encourages professional and personal development\n#LI-hybrid\nSalary Ranges:\n$ 134,250 - $ 196,900HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.","description_format":"text","description_chars":5543,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Electronics","Manufacturing","Car Electronics","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-09-23T23:14:51Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.152,"p_room":0.28,"age_days":247,"expected_fill_days":33,"reasons":["conf:5","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":196900,"is_top_pay":false},"html_url":"https://alion.io/job/harman-international-audio-ml-engineer-research","json_url":"https://alion.io/job/harman-international-audio-ml-engineer-research.json","meta":{"generated_at":"2026-11-04T20:54:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32344,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6265},"rest":"https://alion.io/mcp/rest/get_company?id=6265"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fharman-international-audio-ml-engineer-research"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fharman-international-audio-ml-engineer-research"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fharman-international-audio-ml-engineer-research"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/harman-international-audio-ml-engineer-research\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fharman-international-audio-ml-engineer-research"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1159883}},{"tool":"search_jobs","arguments":{"company":"harman.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1159883},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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