AI / Machine Learning Engineer II
Gen Digital22 days ago
Mountain View, CA, USAMid Level
Base Salary
$300k - $300k/yr
Responsibilities
- Lead applied machine learning initiatives end to end, including data preparation, modeling, experimentation, deployment, monitoring, retraining, rollback, and continuous optimization.
- Deploy and operate scalable batch or real-time ML solutions with evaluation, observability, versioning, monitoring, and robust MLOps workflows.
- Design and analyze A/B tests, holdouts, and validation frameworks to measure incremental customer and business outcomes.
- Build propensity, response, uplift, recommendation, ranking, contextual bandit, segmentation, optimization, and customer-value models.
- Partner with ML infrastructure, data engineering, backend engineering, product, analytics, and business teams to integrate models into reliable production systems.
- Create agentic tools, automation, and reusable modules that improve the speed, quality, and consistency of model development and MLOps delivery.
Requirements
- Five or more years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a related field, or equivalent demonstrated impact.
- Strong Python and SQL skills, with hands-on experience using common machine learning frameworks and large-scale data platforms such as BigQuery or Spark.
- Experience building and evaluating models with large-scale behavioral, transactional, product, marketing, or customer data.
- Experience designing experiments, defining success metrics, measuring incrementality, interpreting results, and applying findings to product or business decisions.
- Experience deploying and operating production ML systems, including inference pipelines, monitoring, observability, retraining, and cloud-based MLOps workflows.
- Strong knowledge of supervised learning, model selection, hyperparameter tuning, evaluation, performance diagnosis, A/B testing, holdout design, causal measurement, statistical significance, and business-impact analysis.
- Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual bandits, pricing, optimization, or lifecycle decisioning is preferred.
- A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, Economics, Engineering, or a related field is helpful but not required; equivalent practical experience is valued.
- A Master’s or PhD in a quantitative field is a plus but not required.
Benefits
- Flexible working options, time off, competitive pay, benefits, and well-being programs are offered.
- The role provides opportunities for experimentation, continuous learning, cross-functional collaboration, and career growth.
Tech Stack
Categories
Data ScienceML Engineering
About Gen Digital
Gen (NASDAQ: GEN) is a global company dedicated to Powering Digital Freedom through its trusted Cyber Safety brands, Norton, Avast, LifeLock, MoneyLion and more. The Gen family of consumer brands is rooted in providing empowerment and safety for the first digital generations. Now, Gen empowers people to live their digital lives confidently today and for generations to come. Gen brings award-winning products and services in cybersecurity, online privacy, identity protection and financial wellness to millions of users in more than 150 countries. Norton.com Avast.com LifeLock.com MoneyLion.com Avira.com AVG.com CCleaner.com GOBankingRates.com ReputationDefender.com