{"id":821742,"url":"https://alion.io/job/hp-senior-machine-learning-researcher-on-device-optimization","title":"Senior Machine Learning Researcher, On-Device Optimization","company":{"id":1167408,"name":"HP Canada","domain":"hp.ca","url":"https://alion.io/company/hp-ca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"E","score":27,"open_postings":87,"ghost_share":0.989,"stale_share":0,"repost_share":0.908,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","Boise, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWQ","optional":false},{"name":"Edge AI","optional":false},{"name":"GPTQ","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"llama.cpp","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX","optional":false},{"name":"OpenVINO","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorRT","optional":false},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2025-06-05T00:00:00Z","employer_posted_date":"2025-10-03","last_verified_at":"2026-10-30T07:24:06Z","board_verified":true,"closed_at":null,"days_open":512,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost","company_stale"],"days_open":511},"description":"Senior Machine Learning Researcher, On-Device OptimizationDescription -\nWho We Are\nHP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.\nWe’re assembling a diverse, world-class team-engineers, designers, researchers, and product minds-focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.\nWe create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful-always with a human-centric mindset.\nBy embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.\nJoin us as we reinvent work, so people everywhere can do their best work.\nAbout The Role\nAs a Machine Learning Researcher, you’ll focus on advancing the state-of-the-art in on-device AI optimization. This role bridges applied research and product development, with a heavy focus on techniques like quantization, pruning, and efficient model representation. You’ll bring academic expertise into real-world systems that power intelligent assistants running directly on HP laptops and edge devices.\nWhat You Might Do\nResearch and implement model compression techniques including quantization, low-rank factorization, distillation, and pruning\nDevelop methods to deploy SOTA transformer and vision models on-device under hardware constraints\nLead investigations into hardware-aware training strategies to optimize latency, throughput, and memory usage\nCollaborate with software engineers and system architects to integrate models into AI companion apps\nEvaluate and benchmark different frameworks and quantization strategies (e.g., AWQ, GPTQ, SmoothQuant) \nEssential Qualifications\nPhD in Computer Science, Electrical Engineering, or related field with focus on efficient ML, systems ML, or compiler design for ML\n2+ years of industry or applied research experience\nStrong background in model optimization for edge computing or mobile/embedded deployment\nFamiliarity with PyTorch, ONNX, TensorRT, OpenVINO, QNN, or Llama.cpp\nUnderstanding of tradeoffs in asymmetric/symmetric quantization, calibration methods, and inference tuning \nPreferred Skills\nExperience publishing at top ML/Systems conferences (e.g., NeurIPS, ICML, MLSys)\nFamiliarity with embedded ML for consumer devices\nGPU and system-level profiling tools (e.g., CUDA, nvprof, perf)\nContributions to open-source ML optimization frameworks\nThe pay range for this role is$150,000 to $250,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\nJob -\nSoftwareSchedule -\nFull timeShift -\nNo shift premium (United States of America)Travel -\nRelocation -\nEqual Opportunity Employer (EEO)-\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":4640,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Health insurance","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Consumer Electronics","Laptops","Code Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-12T13:01:44Z"},{"event":"reopen","at":"2026-09-21T22:18:20Z"},{"event":"reopen","at":"2026-09-23T23:34:57Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.106,"p_room":0.28,"age_days":512,"expected_fill_days":27,"reasons":["conf:2","repost:2","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/hp-senior-machine-learning-researcher-on-device-optimization","json_url":"https://alion.io/job/hp-senior-machine-learning-researcher-on-device-optimization.json","meta":{"generated_at":"2026-10-30T10:33:19Z","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":15206,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":1167408},"rest":"https://alion.io/mcp/rest/get_company?id=1167408"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-senior-machine-learning-researcher-on-device-optimization"},{"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%2Fhp-senior-machine-learning-researcher-on-device-optimization"},{"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%2Fhp-senior-machine-learning-researcher-on-device-optimization"},{"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/hp-senior-machine-learning-researcher-on-device-optimization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-senior-machine-learning-researcher-on-device-optimization"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":821742}},{"tool":"search_jobs","arguments":{"company":"hp.ca","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":821742},"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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