{"id":2258358,"url":"https://alion.io/job/hp-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":2088298,"name":"HP","domain":"hewlett-packard.de","url":"https://alion.io/company/hewlett-packard-de","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":140000,"max_usd":265000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1129},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-11T22:17:02Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Senior Machine Learning EngineerDescription -\nJob Summary\nThis role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance.\nResponsibilities\nArchitects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.\nBuilds and maintains robust data pipelines and monitoring systems in distributed computing environments.\nDefines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.\nEstablishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.\nEngages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.\nCollaborates with DevOps teams to integrate models into production systems and automate deployment processes.\nValidates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.\nParticipates in cutting-edge research in artificial intelligence and machine learning applications.\nStays up-to-date with the latest advancements in machine learning and related technologies.\nManages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support.\nEducation & Experience Recommended\nFour-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.\nTypically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.\nPreferred Certifications\nAWS Certified Machine Learning Specialty or equivalent\nKnowledge & Skills\nAI/ML Inference Infrastructure\nAgile Methodology\nAlgorithms\nArtificial Intelligence\nAutomation\nBig Data\nC++ (Programming Language)\nComputer Science\nCUDA\nData Science\nDeep Learning\nGenAI\nInfrastructure Monitoring and Observability\nKubernetes\nLLM Eval\nLLMOps\nMachine Learning\nModel Quantization\nNatural Language Processing\nPython (Programming Language)\nPyTorch (Machine Learning Library)\nRetrieval-Augmented Generation (RAG)\nSoftware Engineering\nVector Databases\nvLLM\nCross-Org Skills\nEffective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity\nImpact & Scope\nImpacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.\nComplexity\nWorks on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.\nDisclaimer\nThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.\nPay & Benefits\nThe pay range for this role is $147,050 to $230,850 USD annually with additional\nopportunities for pay in the form of bonus and/or equity (applies to United\nStates of America candidates only). Pay varies by work location, job-related\nknowledge, 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\nUS benefits overview https://hpbenefits.ce.alight.com/\nThe compensation and benefits information is accurate as of the date of this\nposting. The Company reserves the right to modify this information at any time,\nwith 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":5454,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","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":["Laptops","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-10-11T04:25:56Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.303,"p_room":0.35,"age_days":24,"expected_fill_days":5,"reasons":["conf:1","win:tail","comp:brand"],"computed_at":"2026-10-11T23:47:18Z"},"pay":null,"html_url":"https://alion.io/job/hp-senior-machine-learning-engineer","json_url":"https://alion.io/job/hp-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-11T23:47:18Z","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":15022,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":2088298},"rest":"https://alion.io/mcp/rest/get_company?id=2088298"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-senior-machine-learning-engineer"},{"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-engineer"},{"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-engineer"},{"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-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-senior-machine-learning-engineer"}]}