Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

Capital One Financial

Quick summary

Work type
On-site
Location
San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · New York, NY
Salary
$229,900–$262,400 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $246k
$161k most similar roles pay here $273k

This role pays more than 80% of similar roles. Most pay $171,500–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $209k for comparable roles.

Based on 240 similar postings.

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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 791 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform)

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As a Sr. Lead AI Engineer at COPSSC, you will join a cutting-edge team focused on optimizing inference and developing an advanced AI platform for feature management hosting. Your primary responsibilities include designing efficient machine learning models, enhancing model performance through optimization techniques, and integrating these solutions into scalable cloud infrastructures. You will work with state-of-the-art technologies such as TensorFlow, PyTorch, Kubernetes, and Docker to build robust AI systems. Additionally, you must possess strong skills in Python, C++, and have experience with large-scale data processing frameworks like Apache Spark. This role requires a deep understanding of machine learning principles and the ability to tackle complex business challenges through innovative AI solutions.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Prometheus Grafana PostgreSQL Redis Git Jenkins

What you'll do

  • Lead the optimization of AI inference models for efficient deployment.
  • Develop and maintain the company’s AI platform, focusing on scalability.
  • Implement feature management systems to enhance product features.
  • Monitor and analyze performance metrics of AI systems continuously.
  • Design solutions to improve the efficiency of machine learning workflows.

What we're looking for

  • 5+ years of experience in AI engineering and inference optimization.
  • Proven expertise in machine learning frameworks and platforms.
  • Strong background in software development and cloud computing technologies.
  • Experience with full-stack AI solutions, including deployment and maintenance.
  • Excellent problem-solving skills and ability to work on complex projects.

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Senior Lead AI Engineer (FM Hosting, LLM Inference)

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McLean, VA 131 days ago $229,900–$262,400
Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD PostgreSQL Redis Prometheus Grafana GitLab Jupyter Notebook Scikit-learn Pandas NumPy Hugging Face Transformers
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