AI & Machine Learning Engineer I
Gen Digital1 month ago
Mountain View, CA, USAEntry Level
Base Salary
$176k - $191k/yr
Responsibilities
- Own well-defined machine learning projects through data exploration, model development, validation, deployment, and iteration.
- Build predictive, recommendation, ranking, segmentation, uplift, and customer-value models for personalization and decisioning.
- Prepare datasets, define modeling targets, develop features, and ensure data quality for training and evaluation.
- Design and analyze A/B tests, holdouts, and offline evaluations to measure model performance and business impact.
- Collaborate with engineering, product, analytics, and business partners to integrate models into production.
- Use AI coding assistants, automation, and reusable tools to improve modeling and analytical workflows.
Requirements
- At least two years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a related field.
- Strong Python skills and practical knowledge of supervised learning, model selection, hyperparameter tuning, evaluation, and performance analysis.
- Strong SQL skills and experience with data extraction, cleaning, preprocessing, exploration, and feature development using platforms such as BigQuery or Spark.
- Experience analyzing behavioral, transactional, product, marketing, or customer data and translating findings into practical recommendations.
- Experience defining success metrics, analyzing experiments, evaluating model performance, and interpreting business impact.
- Experience collaborating with engineering, product, analytics, or business partners to deploy or apply data-driven solutions.
- Familiarity with common machine learning libraries, cloud data or ML platforms, version control, and AI-assisted development tools.
- Experience with personalization, recommendation, ranking, uplift modeling, causal inference, contextual bandits, pricing, 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 accepted.
- A Master’s or PhD in a quantitative field is preferred but not required.
- Strong analytical, statistical reasoning, ownership, communication, collaboration, and business-impact orientation.
Benefits
- Flexible working options, time off, competitive pay, benefits, and well-being programs.
- Opportunities for continuous learning, career growth, experimentation, and collaboration with cross-functional AI teams.
Tech Stack
Categories
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