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NEXTMOVEFDE careers · United States
Capital One (Plano campus)

Sr. Distinguished Machine Learning Engineer (Remote-Eligible)

AI summary of the role

This is a senior distinguished individual contributor role on the Hyper Personalization org within Capital One's Consumer Engagement Platform.

What you’ll do

  • Define and drive technical strategy and roadmap for the Personalization Platform powering real-time personalized product experiences and multi-channel targeted messaging.
  • Design, build and maintain robust ML infrastructure and pipelines for end-to-end workflows including feature extraction, model training, evaluation, deployment, and real-time/batch inference.
  • Architect low-latency, event-driven systems for real-time dynamic personalization based on streaming data and user behavior.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.

What you’ll bring

  • Bachelor’s degree
  • At least 10 years of experience designing and building data-intensive solutions using distributed computing
  • At least 7 years of experience programming in C, C++, Python, or Scala
  • At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting

Technologies

AWS Ultraclusters · Huggingface · VectorDBs · Nemo Guardrails · PyTorch · Kubeflow · Databricks · Airflow · Docker · Kubernetes

Source and classification

Internal deployment & tooling · Evidence for this classification:

you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One’s consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale — turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org’s mission is to move Capital One to deliver always-on, cohort-of-one
More from the job description

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One’s consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product develo [... source excerpt omitted ...] ome feeds to marketing and servicing messages. The org’s mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you’ll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Pro [... source excerpt omitted ...] monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You wan

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