As a Senior Distinguished Engineer at Capital One, you will provide technical leadership to engineering teams focused on scaling machine learning applications in the financial services industry. Your role involves guiding architectural design decisions, developing and reviewing model code, ensuring high availability of ML systems, and mentoring other engineers. You will collaborate with Product, Architecture, Engineering, and Data Science teams to deliver state-of-the-art intelligent systems by leveraging cloud-based architectures like Dask and RAPIDS, optimizing data pipelines, and evangelizing best practices across the engineering lifecycle. The ideal candidate has extensive experience in distributed computing, programming languages such as Python, Scala, C/C++, and a proven track record of industry impact through contributions to open source projects or conference presentations.
Skills
Python
Scala
C++
Dask
RAPIDS
NumPy
Pandas
Scikit-learn
Cloud-based architectures
Data pipelines
ML development lifecycle
High Performance Computing
PyData ecosystem
CI/CD
What you'll do
Lead the creation of ML models that solve complex business problems in financial services.
Drive large-scale ML initiatives focusing on customer needs and satisfaction.
Optimize data pipelines to efficiently feed machine learning models at scale.
Mentor other engineers and foster a culture of continuous technical improvement.
Evangelize best practices across all stages of the engineering and modeling lifecycles.
What we're looking for
At least 10 years of experience in designing and building data-intensive solutions using distributed computing.
Proficient in programming languages such as Python, Scala, C/C++ with at least 7 years of relevant experience.
Extensive knowledge of the full ML development lifecycle in a business-critical environment for at least 4 years.
Experience in designing, implementing, and scaling production-ready data pipelines feeding ML models for over 3 years.
Expertise in leveraging cloud-based architectures and technologies like Dask and RAPIDS to deliver optimized ML models.
Strong ability to communicate complex technical concepts clearly across various audiences and mentor high-performing engineers.
Market check
Salary context
This
$314,800–$359,300
range sits above
98%
of similar postings on FindRole.
Peer median band
$129,000–$212,160
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$136,875–$223,200
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Capital One Financial
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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