Machine Learning Engineering - Intelligent Foundations and Experiences (IFX)

Capital One Financial

Actively hiring
Richmond, VA · Plano, TX Posted 22 days ago $147,100–$167,900 / year
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At a glance

AI generated

TL;DR

Senior Machine Learning Engineers at Intelligent Foundations and Experiences (IFX) work closely with a team of data scientists and engineers to develop scalable machine learning solutions. This role involves designing and implementing complex ML models using Python, Scala, or Java, alongside frameworks like scikit-learn, PyTorch, Dask, Spark, and TensorFlow. Daily tasks include productionizing models, monitoring their performance, and optimizing system efficiency across distributed computing environments. Candidates should have experience with data preparation, model deployment, and contributions to open-source projects, as well as a track record of authoring or co-authoring ML-related papers. The position requires expertise in distributed file systems and multi-node databases, addressing large-scale business challenges within the tech industry.

Skills

Python Scala Java scikit-learn PyTorch Dask Spark TensorFlow Kubernetes CI/CD Prometheus Grafana Apache Hadoop Apache Cassandra Amazon S3 Google Cloud Storage Azure Blob Storage Git Jenkins

What you'll do

  • Design and build data-intensive solutions using distributed computing frameworks.
  • Productionize, monitor, and maintain machine learning models in production environments.
  • Scale and optimize machine learning systems to improve performance and efficiency.
  • Gather and prepare data for training machine learning models effectively.
  • Contribute to open-source machine learning software projects and communities.
  • Author or co-author academic papers on machine learning techniques and proofs of concept.

What we're looking for

  • At least 4 years of experience programming with Python, Scala, or Java.
  • At least 3 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 2 years of on-the-job experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
  • Experience in productionizing, monitoring, and maintaining machine learning models.
  • Contributed to open source machine learning software and authored/co-authored a paper on a ML technique, model, or proof of concept.

Market check

Salary context

This $147,100–$167,900 range sits above 16% of similar postings on FindRole.

Peer median band

$167,683–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$174,303–$246,150

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.

Most-posted roles

View all roles at Capital One Financial

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