AI & Machine Learning Engineer I

Gen Digital

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Mountain View, CA
Salary
$176,000–$191,000 / yr
Posted
37 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $184k
$142k most similar roles pay here $262k

This role pays less than 65% of similar roles. Most pay $162,000–$240,437 — the shaded band above. At the midpoint, this role pays about $184k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Gen Digital

Gen Digital is a US-based consumer cybersecurity company formed by the merger of NortonLifeLock and Avast. It sells identity protection, antivirus, VPN, and privacy software under the Norton, Avast, AVG, Avira, LifeLock, ReputationDefender, and CCleaner brands.

Gen Digital currently has 23 open roles on FindRole.

Listed pay typically runs $172,240–$190,140 across 16 roles with salary data.

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View all roles at Gen Digital

At a glance

TL;DR · AI & Machine Learning Engineer I

As an AI & Machine Learning Engineer I, you will join a core team focused on Gen’s AI transformation by building machine learning solutions to improve customer growth, retention, personalization, pricing, and recommendations. You will own well-scoped projects from data exploration through model development, validation, and deployment. Your daily work involves building predictive, ranking, segmentation, and uplift models while preparing datasets and developing features for training. You will design and analyze A/B tests to measure business impact and collaborate with cross-functional partners to integrate models into production. The role requires proficiency in Python and SQL, experience with BigQuery or Spark, and knowledge of supervised learning and hyperparameter tuning. Preferred expertise includes recommender systems, contextual bandits, and causal inference. You will utilize AI coding assistants and automation to enhance modeling workflows and ensure high-quality results.

What you'll do

  • Own well-defined machine learning projects from initial data exploration through deployment and iteration.
  • Build and improve predictive, recommendation, ranking, segmentation, and uplift models for customer personalization.
  • Prepare datasets, define modeling targets, and develop features while ensuring high data quality.
  • Design and analyze A/B tests and offline evaluations to measure model performance and business impact.
  • Collaborate with engineering, product, and analytics teams to integrate models into production environments.
  • Utilize AI coding assistants and automation tools to improve the speed and consistency of modeling workflows.

What we're looking for

  • A technical degree in a quantitative field is helpful, but equivalent practical experience is also accepted.
  • A Master's or PhD in a quantitative field is preferred.
  • Two or more years of professional experience in applied machine learning, data science, ML engineering, or applied statistics.
  • Strong Python skills and knowledge of supervised learning, model selection, hyperparameter tuning, and performance analysis.
  • Strong SQL skills and experience with platforms like BigQuery or Spark for data extraction and feature development.
  • Experience analyzing behavioral, transactional, product, marketing, or customer data to provide actionable insights.
  • Experience designing A/B tests, holdout designs, and measuring business impact through statistical reasoning.
  • Experience with recommender systems, uplift modeling, contextual bandits, pricing, or lifecycle personalization (preferred).

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