Lead Machine Learning Engineer, Engine

Gen Digital

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$188,000–$208,000 / yr
Posted
59 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $198k
$174k most similar roles pay here $287k

This role pays less than 73% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $198k versus about $226k 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.

Most-posted roles

View all roles at Gen Digital

At a glance

TL;DR · Lead Machine Learning Engineer, Engine

As a Lead Machine Learning Engineer - Engine, you will join the Engine team to design, build, and maintain infrastructure supporting machine learning training, deployment, and inference workloads. You will be responsible for improving CI/CD pipelines, infrastructure-as-code, observability, and operational tooling while ensuring production systems remain reliable, performant, and cost-efficient. Your daily work involves building Kubernetes and cloud-based services to support model execution and data workflows while partnering with data scientists to streamline deployment processes. You will utilize a technical stack including AWS, Docker, Kubernetes, Terraform, and various monitoring tools to automate developer workflows. This role focuses on the financial technology domain, specifically building infrastructure for an embedded finance platform and a consumer money app that provides personalized content and products through advanced AI-backed data and tools.

What you'll do

  • Design, build, and maintain infrastructure for ML training, deployment, and inference workloads.
  • Manage CI/CD pipelines, infrastructure-as-code, observability, and operational tooling for ML systems.
  • Optimize production systems for reliability, performance, and cost efficiency.
  • Build and maintain Kubernetes and cloud-based services for model execution and data workflows.
  • Partner with data scientists and engineers to support model deployment and operational requirements.
  • Improve developer workflows through automation, custom tooling, and platform abstractions.
  • Participate in on-call rotations and take ownership of platform component operations.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in software engineering, platform engineering, or DevOps/SRE roles.
  • Strong systems engineering background with production operations experience.
  • Strong experience with backend or platform services.
  • Hands-on experience with cloud infrastructure and tooling including AWS, Docker, Kubernetes, Terraform, CI/CD, and monitoring.
  • Experience operating distributed systems in production.
  • Experience with machine learning infrastructure, model serving, or data platforms (preferred).
  • Strong problem-solving skills and an operations-first mindset.

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