Full-stack Engineer 4, Machine Learning Experiences (MLX)
Capital One Financial
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How this pay compares to similar roles
This role pays more than 74% of similar roles. Most pay $194,412–$223,750 — the blue band above. At the midpoint, this role pays about $211k versus about $209k for comparable roles.
Based on 240 similar postings.
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 2309 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 1162 roles with salary data.
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At a glance
The Full-Stack Engineer 4 (AI Operations, MLX Group) joins the Machine Learning Experience Team to drive a major transformation by pioneering and responsibly implementing AI/ML solutions. This role involves leading a portfolio of diverse technology projects and a team of developers to build robust cloud-based solutions that meet regulatory needs. You will develop distributed microservices and full-stack systems while setting standards for design, development, and operational excellence. Key technologies include Python, Go, Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and various AWS tools. You will also manage CI/CD pipelines, infrastructure as code, and automated testing frameworks. The work focuses on building platforms that enable the rapid development and deployment of Generative AI solutions to assist customers and solve complex business problems.
What does a Full Stack Engineer earn in New York?
Median $224000 from 97 postings across 10 companies.
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