Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)
Capital One Financial
At a glance
AI generatedAs a Lead Machine Learning Engineer on Capital One’s GenAI Workflows Serving team in Cambridge, MA, you will work within an Agile environment to design and build scalable Generative AI applications. Your responsibilities include developing robust ML serving architectures, high-performance application code in Python and Go, and ensuring the security and low latency of these solutions. You’ll collaborate with Product and Data Science teams to solve complex business problems and implement cloud-native platforms using Docker, Kubernetes, KNative, and KServe for optimized deployments. Additionally, you will apply advanced MLOps practices, automate tests and deployment processes, and leverage service mesh architectures like Istio to manage traffic and enhance security in high-volume environments. This role requires expertise in Python, Go, and experience with CI/CD tools such as ArgoCD.
Skills
What you'll do
What we're looking for
Market check
This $197,300–$225,100 range sits above 54% of similar postings on FindRole.
Peer median band
$170,800–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$175,750–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 489 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.
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