Lead Machine Learning Engineer
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
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
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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At a glance
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.
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