AI & Machine Learning Engineer I

About the Role

Gen Digital is seeking an AI & Machine Learning Engineer I to join our core ML team, which builds machine learning solutions that drive customer growth, retention, personalization, pricing, recommendations, and long-term value. You will own well-scoped projects end-to-end—from data exploration and model development through validation, deployment, and iteration—while collaborating with experienced engineers and cross-functional partners across product, analytics, and business teams.

Responsibilities

• Own machine learning projects from inception through production, including data exploration, model development, validation, deployment, and continuous improvement.
• Build and refine predictive, recommendation, ranking, segmentation, uplift, and customer-value models to support personalization and decisioning.
• Prepare datasets, define modeling targets, engineer features, and maintain data quality for model training and evaluation.
• Design and analyze A/B tests, holdouts, and offline evaluations to measure model performance and quantify business impact.
• Partner with engineering, product, analytics, and business teams to integrate models into production systems and refine them based on performance and feedback.
• Leverage AI coding assistants, automation, and reusable tools to accelerate model development and analytical workflows.

Requirements

• Two or more years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a closely related field, with demonstrated success building and evaluating models on real-world data.
• Strong proficiency in Python, including supervised learning, model selection, hyperparameter tuning, evaluation, and performance analysis.
• Strong SQL skills and hands-on experience with data platforms such as BigQuery, Spark, or similar tools for data extraction, cleaning, preprocessing, and feature engineering.
• Experience analyzing behavioral, transactional, product, or customer data and translating insights into actionable recommendations.
• Solid foundation in statistical and analytical reasoning, including A/B testing, holdout design, statistical significance, and business-impact measurement.
• Experience deploying or applying data-driven solutions in collaboration with engineering, product, or analytics teams.
• Familiarity with ML libraries, cloud data or ML platforms, version control, and AI-assisted development tools.
• Demonstrated ownership mindset, proactive problem-solving, and ability to connect technical work to measurable customer and business outcomes.
• Clear communication skills with both technical and non-technical stakeholders.
• Experience with personalization, recommendation systems, ranking, uplift modeling, causal inference, contextual bandits, pricing, or lifecycle decisioning is a plus.
• A technical degree in Computer Science, Data Science, Statistics, Mathematics, Operations Research, Economics, Engineering, or a related field is helpful; a Master's or PhD in a quantitative field is beneficial but not required. Equivalent practical experience is equally valued.

About the Company

Gen Digital is a global leader in digital freedom and cybersecurity, serving nearly 500 million users across more than 150 countries through trusted brands including Norton, Avast, LifeLock, and MoneyLion. The company delivers award-winning solutions in cybersecurity, online privacy, identity protection, and financial wellness. Gen fosters a culture of healthy debate, experimentation, continuous learning, and diversity, offering flexible working arrangements, competitive compensation, and comprehensive benefits.

Location & Work Arrangement

Mountain View, CA, USA