{"id":55945,"url":"https://alion.io/job/gen-digital-ai-machine-learning-engineer-ii","title":"AI / Machine Learning Engineer II","company":{"id":3431,"name":"Gen Digital","domain":"gendigital.com","url":"https://alion.io/company/gendigital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":25,"ghost_share":0,"stale_share":0.6,"repost_share":0.04,"time_to_fill_p50_days":61,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"bandit","optional":false},{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false},{"name":"BigQuery","optional":true},{"name":"CI/CD","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-08-13T14:43:51Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-17T07:14:31Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"About Gen:\nGen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast,\nLifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital\ngenerations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions\nto nearly 500 million users in more than 150 countries.\nTogether, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and\nfinancial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move\nfaster and deliver meaningful results.\nWhen you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career - from flexible\nworking options and time off to competitive pay, benefits and well-being programs.\nAt Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous\nlearning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back\neach other, respect each other and understand that our differences are a competitive advantage.\nIf this sounds like you, we’d love you to be part of Gen.\nAbout The Role:\nOur team is a core part of Gen’s AI transformation. We build machine learning systems that directly improve customer growth,\nretention, personalization, pricing, recommendations, billing success, and long-term customer value across a large global consumer\nportfolio.\nThis role focuses on applied machine learning, experimentation, and business-impact modeling. You will build practical models that\npersonalize customer decisions across in-app messages, email, portals, billing flows, and lifecycle journeys.\nWe are looking for a hands-on AI / Machine Learning Engineer who can frame business problems, build models, design experiments,\nmeasure impact rigorously, and partner with engineering and product teams to bring models into production. Experience with\nrecommender systems, uplift modeling, contextual bandits, pricing, or lifecycle personalization is a strong plus.\nKey Responsibilities:\nEnd-to-end ML ownership: Independently lead applied machine learning initiatives from data preparation and model development\nthrough experimentation, production deployment, monitoring, and continuous optimization.\nProductionization and MLOps: Deploy and operate scalable ML solutions with robust workflows for batch or real-time inference,\nevaluation, monitoring, observability, versioning, retraining, rollback, and continuous model iteration.\nExperimentation and impact measurement: Design and analyze A/B tests, holdouts, and validation frameworks to measure\nincremental customer and business outcomes.\nAdvanced model development: Design and build propensity, response, uplift, recommendation and ranking, contextual bandit,\nsegmentation, optimization, and customer-value models.\nCross-functional delivery: Partner with ML infrastructure, data engineering, backend engineering, product, analytics, and business\nteams to integrate models into reliable production systems.\nAI-first engineering workflows: Build agentic tools, automation, and reusable modules that streamline model development and MLOps\nworkflows, improve productivity, and increase the speed, quality, and consistency of ML delivery.\nAbout You:\nEducation:\nDegree requirements are flexible. A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations\nResearch, Economics, Engineering, or a related field is helpful, but equivalent practical experience is equally valued.\nA Master’s or PhD in a quantitative field is a plus, but not required.\nExperience:\nApplied ML experience: Five or more years of professional experience in applied machine learning, data science, ML engineering,\napplied statistics, or a related field, or equivalent demonstrated impact.\nLarge-scale data: Experience building and evaluating models using large-scale behavioral, transactional, product, marketing, or\ncustomer data.\nExperimentation: Experience designing experiments, defining success metrics, measuring incrementality, interpreting results, and\ntranslating findings into practical product or business decisions.\nGen | AI / Machine Learning Engineer II\nProduction collaboration and ML operations: Experience partnering with engineering, product, analytics, and business teams to deploy\nand operate production ML systems, including inference pipelines, monitoring, observability, retraining, and cloud-based MLOps\nworkflows.\nRelevant specialization: Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual\nbandits, pricing, optimization, or lifecycle decisioning is a strong plus.\nSkills:\nMachine learning and modeling: Strong Python skills and hands-on experience with common ML frameworks, supervised learning,\nmodel selection, hyperparameter tuning, evaluation, and performance diagnosis.\nData processing and feature engineering: Strong SQL skills and experience with BigQuery, Spark, or similar platforms for data\ncollection, cleaning, preprocessing, exploration, and feature development.\nAnalytics and experimentation: Strong statistical reasoning and practical knowledge of A/B testing, holdout design, causal\nmeasurement, incrementality, statistical significance, and business-impact analysis.\nProduction engineering and MLOps: Experience with cloud ML platforms, deployment pipelines, batch or real-time inference, CI/CD,\nmodel registries, monitoring, observability, retraining, rollback, and scalable system design.\nPersonal Attributes:\nStrong ownership: Takes responsibility for delivering high-quality solutions and measurable outcomes with limited oversight.\nBusiness-impact orientation: Connects modeling and engineering decisions to customer experience, product performance, and\nbusiness value.\nAI-first builder mindset: Enjoys coding, modeling, automating, and shipping while proactively using AI and agentic tools to improve\nproductivity and quality.\nClear, collaborative communication: Communicates assumptions, tradeoffs, risks, and results effectively across ML, engineering,\nproduct, analytics, and business teams.\nWhat’s Next:\nOur hiring process includes the following steps:\n1. Video Introduction: Submit a brief video introducing yourself, your work, and your most relevant experience.\n2. Technical interview: Demonstrate your applied machine learning, analytical, and engineering capabilities.\n3. Hiring manager interview: Meet with the hiring manager to discuss your background and fit for the role.\n4. Final interview: Meet with our AI leadership, including the Chief AI Officer, for a final assessment.","description_format":"text","description_chars":6835,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Identity Management","Endpoint Security","Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-08-13T14:43:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 79 · green card filings: 10","filings_12m":79,"filings_prev_12m":54,"green_card_filings_12m":10,"median_offered_wage_usd":158624,"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":49}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.495,"p_room":0.44,"age_days":64,"expected_fill_days":61,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/gen-digital-ai-machine-learning-engineer-ii","json_url":"https://alion.io/job/gen-digital-ai-machine-learning-engineer-ii.json","meta":{"generated_at":"2026-10-17T10:08:18Z","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":13255,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":3431},"rest":"https://alion.io/mcp/rest/get_company?id=3431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgen-digital-ai-machine-learning-engineer-ii"},{"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%2Fgen-digital-ai-machine-learning-engineer-ii"},{"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%2Fgen-digital-ai-machine-learning-engineer-ii"},{"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/gen-digital-ai-machine-learning-engineer-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgen-digital-ai-machine-learning-engineer-ii"}]}