Lead AI Engineer (Vision model customization, VML)

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NYMcLean, VACambridge, MASan Jose, CA
Salary
$197,300–$225,100 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $211k
$161k most similar roles pay here $255k

This role pays more than 57% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $208k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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At a glance

TL;DR · Lead AI Engineer (Vision model customization, VML)

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As a Lead AI Engineer on the Vision Model Customization team at COPSSC, you will lead the development and customization of advanced vision models tailored to specific business needs. Your day-to-day responsibilities include designing innovative solutions for complex visual data challenges, collaborating with cross-functional teams to integrate these models into existing systems, and mentoring junior engineers in cutting-edge AI technologies. Ideal candidates possess expertise in Python, TensorFlow, PyTorch, and have a strong background in computer vision and machine learning. You will work on large-scale projects that require deep understanding of image processing and neural networks, addressing real-world business problems with scalable and efficient solutions.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Notebook Swagger RESTful APIs GraphQL

What you'll do

  • Customize vision models to meet specific business needs.
  • Optimize existing AI algorithms for improved performance and efficiency.
  • Develop new machine learning solutions using state-of-the-art techniques.
  • Conduct research on advanced computer vision technologies and applications.
  • Integrate customized AI models into production environments securely.

What we're looking for

  • Extensive experience in vision model customization and deployment.
  • Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
  • Strong background in computer vision and deep learning techniques.
  • Experience with cloud platforms for AI development and deployment.
  • Excellent problem-solving skills and technical expertise in AI technologies.

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Lead AI Engineer

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Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git Jupyter Notebook PostgreSQL MongoDB Scikit-learn Pandas NumPy Prometheus Grafana
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