Gen Digital Inc.
AI / Machine Learning Engineer II
USA - Mountain View, CA · Mid
Sponsorship not specifiedDetected 68 days ago
PythonSQLBigQueryCI/CDMachine LearningSparkData EngineeringData ScienceMLOpsStatisticsA/B TestingResearchLeadershipCommunicationCollaboration
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 100%
Of 7 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Reported a layoff in this occupation
In a green-card filing decided 2026-03-03, this employer stated it had laid off workers in Software Developers (AZ) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Our team is a core part of Gen's AI transformation.
- retention, personalization, pricing, recommendations, billing success, and long-term customer value across a large global consumer
- This role focuses on applied machine learning, experimentation, and business-impact modeling.
Responsibilities
- Experimentation and impact measurement: Design and analyze A/B tests, holdouts, and validation frameworks to measure
- Advanced model development: Design and build propensity, response, uplift, recommendation and ranking, contextual bandit,
- Cross-functional delivery: Partner with ML infrastructure, data engineering, backend engineering, product, analytics, and business
- AI-first engineering workflows: Build agentic tools, automation, and reusable modules that streamline model development and MLOps
- faster and deliver meaningful results.
- We create room for healthy debate, experimentation and continuous
Requirements
- Relevant specialization: Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual
Nice to have
- A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations
- Research, Economics, Engineering, or a related field is helpful, but equivalent practical experience is equally valued.
- A Master's or PhD in a quantitative field is a plus, but not required.
- applied statistics, or a related field, or equivalent demonstrated impact.
- Large-scale data:
- Experimentation:
- Experience designing experiments, defining success metrics, measuring incrementality, interpreting results, and
- translating findings into practical product or business decisions.
Skills
- Machine learning and modeling: Strong Python skills and hands-on experience with common ML frameworks, supervised learning,
- model selection, hyperparameter tuning, evaluation, and performance diagnosis.
- Data processing and feature engineering: Strong SQL skills and experience with BigQuery, Spark, or similar platforms for data
- collection, cleaning, preprocessing, exploration, and feature development.
- measurement, incrementality, statistical significance, and business-impact analysis.
- Production engineering and MLOps: Experience with cloud ML platforms, deployment pipelines, batch or real-time inference, CI/CD,
- Personal Attributes:
- Strong ownership: Takes responsibility for delivering high-quality solutions and measurable outcomes with limited oversight.
- Business-impact orientation: Connects modeling and engineering decisions to customer experience, product performance, and
- business value.
- AI-first builder mindset: Enjoys coding, modeling, automating, and shipping while proactively using AI and agentic tools to improve
- productivity and quality.
Benefits
- generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions
- Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and
- When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career - from flexible
- working options and time off to competitive pay, benefits and well-being programs.
- learning, and we seek out people with different experiences, identities and ideas to join our team.
- End-to-end ML ownership: Independently lead applied machine learning initiatives from data preparation and model development
Company info
- At Gen, we are scrappy and relentlessly customer driven.
- If this sounds like you, we'd love you to be part of Gen.
- About The Role: Our team is a core part of Gen's AI transformation.
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This listing is sourced directly from Gen Digital Inc.'s careers page and normalized into a canonical job model.