{"id":669032,"url":"https://alion.io/job/qualcomm-staff-analytics-engineer-ai-predictive","title":"Staff Analytics Engineer (AI & Predictive)","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":71,"open_postings":1151,"ghost_share":0.235,"stale_share":0.133,"repost_share":0.467,"time_to_fill_p50_days":74,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":148200,"max":222200,"currency":"USD","period":"year","gross":null,"usd_annual":222200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Databricks","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-03-04T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-22T08:48:23Z","board_verified":true,"closed_at":null,"days_open":232,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost"],"days_open":232},"description":"Company:\nQualcomm IncorporatedJob Area:\nInformation Technology Group, Information Technology Group > Data ScienceGeneral Summary:\nTheStaff Analytics Engineer (AI & Predictive) is a senior, hands-on individual contributor responsible for designing, building, and operationalizingpredictive analytics, traditional machine learning models, agentic AI systems, and Databricks-native data applications that drive real business outcomes. This role operates at the intersection ofdata science, ML engineering, and full-stack data application development, with a strong focus onproduction-grade solutions.\nThis position requires deep expertise inclassical ML techniques, agent-based AI workflows, and Databricks application development, along with strong ownership of end-to-end delivery-from data preparation and modeling to deployment, monitoring, and user-facing experiences.\nThis role requires full-time onsite work in San Diego, CA (5 days per week).\n**This position is not eligible for Qualcomm immigration sponsorship.**\nKey Responsibilities\nTraditional Machine Learning & Analytics\nDesign, develop, and deploytraditional machine learning models, including regression, classification, clustering, time-series forecasting, and anomaly detection.\n\nPerformfeature engineering, model selection, training, validation, and performance tuning on large-scale enterprise datasets.\n\nApply soundstatistical and ML best practices to ensure model robustness, explainability, and business relevance.\n\nAgentic AI & Intelligent Automation\nDesign and implementagentic AI workflows, where autonomous or semi-autonomous agents orchestrate data access, ML inference, decision logic, and actions.\n\nBuildmulti-step agent pipelines that combine rules, ML models, and reasoning components to solve complex business problems.\n\nIntegrate agentic systems withenterprise data, ML models, and applications to enable intelligent automation and decision support.\n\nDatabricks Application Development\nDesign and developDatabricks-native applications, includingnotebook-based apps, interactive dashboards, and parameterized data/ML workflows.\n\nBuilddata and ML services/APIs leveraging Databricks, Python, and Lakehouse capabilities.\n\nPartner with analytics, BI, and application teams to embedML insights, predictions, and agent outputs directly into Databricks apps and business workflows.\n\nEnsure Databricks apps meetperformance, security, governance, and usability standards.\n\nML Engineering & Productionization\nOperationalize ML models and agentic workflows intoproduction pipelines, ensuring scalability, reliability, and monitoring.\n\nCollaborate with data engineering teams to leveragecurated Lakehouse data, feature stores, and governed datasets.\n\nImplementmodel monitoring, drift detection, and retraining strategies to maintain long-term model effectiveness.\n\nFull-Stack Data Enablement\nDevelop end-to-end solutions that spandata ingestion, modeling, ML inference, agent execution, and user-facing applications.\n\nTranslate business and analytical requirements intoscalable, maintainable ML-powered data products.\n\nEnable downstream consumption throughDatabricks apps, dashboards, APIs, and integrated enterprise applications.\n\nProduction Support & Operational Excellence\nOwnproduction ML models, agentic systems, and Databricks applications, including monitoring, troubleshooting, and root-cause analysis.\n\nImplement logging, alerting, and observability formodels, agents, and applications.\n\nDrive continuous improvements inmodel accuracy, system reliability, and user experience.\n\nTechnical Leadership & Influence\nServe as atechnical authority in traditional ML, agentic AI, and Databricks application patterns.\n\nInfluence architectural decisions, best practices, and technical standards across teams.\n\nMentor peers and raise the bar onML rigor, engineering quality, and production readiness.\n\nQualifications\nRequired Skills & Experience\n5+ years of hands-on experience indata science, applied machine learning, or ML engineering, with ownership of production systems.\n\nStrong proficiency inPython for ML development, data processing, and application logic.\n\nDeep experience with traditional ML techniques (e.g., regression, classification, clustering, time series).\n\nProven experience building and deployingML models in production environments.\n\nHands-on experience withDatabricks, including Databricks application development (notebooks, workflows, dashboards, ML pipelines).\n\nStrong understanding offeature engineering, model evaluation, and explainability.\n\nExperience collaborating withdata engineering, BI, and application teams.\n\nPreferred / Nice-to-Have Qualifications\nExperience designing and implementingagentic AI systems or autonomous decision-making workflows.\n\nFamiliarity withLakehouse architectures, feature stores, and ML lifecycle management.\n\nExperience withML Ops practices, CI/CD, model monitoring, and retraining pipelines.\n\nExposure to cloud platforms (e.g., AWS) and scalable ML infrastructure.\n\nExperience embedding ML and agent outputs intoenterprise applications or analytics platforms.\n\nKnowledge ofdata governance, access controls, and secure ML deployment.\n\nWhat Defines Success at the Staff Level\nIndependently delivershigh-impact ML models, agentic AI workflows, and Databricks applications.\n\nBridgesdata science, ML engineering, and full-stack data app development.\n\nInfluences architecture, standards, and technical direction beyond assigned projects.\n\nActs as a trusted technical partner tobusiness, analytics, and engineering stakeholders.\n\nRaises organizational maturity intraditional ML, agentic AI adoption, and production ML practices.\n\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\nEEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nPay range and Other Compensation & Benefits :\n$148,200.00 - $222,200.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":8471,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-09-10T22:14:10Z"},{"event":"close","at":"2026-09-11T02:22:19Z"},{"event":"reopen","at":"2026-09-13T01:53:42Z"},{"event":"close","at":"2026-09-13T05:40:27Z"},{"event":"reopen","at":"2026-09-13T20:50:48Z"},{"event":"close","at":"2026-09-13T23:50:53Z"},{"event":"reopen","at":"2026-09-19T01:39:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 55 · green card filings: 6","filings_12m":55,"filings_prev_12m":87,"green_card_filings_12m":6,"median_offered_wage_usd":122008,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":21}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":232,"expected_fill_days":74,"reasons":["conf:1","repost:2","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":222200,"is_top_pay":true},"html_url":"https://alion.io/job/qualcomm-staff-analytics-engineer-ai-predictive","json_url":"https://alion.io/job/qualcomm-staff-analytics-engineer-ai-predictive.json","meta":{"generated_at":"2026-10-22T09:50:01Z","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":6767,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-staff-analytics-engineer-ai-predictive"},{"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%2Fqualcomm-staff-analytics-engineer-ai-predictive"},{"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%2Fqualcomm-staff-analytics-engineer-ai-predictive"},{"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/qualcomm-staff-analytics-engineer-ai-predictive\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-staff-analytics-engineer-ai-predictive"}]}