Lead AI Engineer (MLX)

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Salary: $197,300–$225,100 / yr
Posted: 73 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k

This role $211k

$171k most similar roles pay here $270k

This role pays less than 51% of similar roles. Most pay $184,975–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $216k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead AI Engineer (MLX)

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As a Lead AI Engineer at our cutting-edge tech company, you will join the Machine Learning Excellence (MLX) team as a senior-level expert responsible for driving innovative solutions to complex business challenges. Your primary focus will be on designing and implementing advanced machine learning models that enhance product personalization and predictive analytics capabilities. Day-to-day activities include collaborating with cross-functional teams to integrate AI technologies, conducting research on emerging ML techniques, and mentoring junior engineers. Ideal candidates possess extensive experience in Python, TensorFlow, and PyTorch, along with a strong background in data science and software engineering. The role requires deep expertise in natural language processing (NLP) and computer vision, as well as proficiency in cloud platforms like AWS or Azure for scalable AI deployments.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git Jupyter PostgreSQL MLOps

What you'll do

Design and implement machine learning models to solve complex business problems.
Conduct research on cutting-edge AI techniques and integrate them into projects.
Optimize existing ML systems for efficiency, scalability, and performance.
Mentor junior engineers in AI methodologies and best practices.
Stay updated with the latest advancements in artificial intelligence technologies.

What we're looking for

5+ years of experience in machine learning and artificial intelligence.
Proven track record of leading AI projects from conception to deployment.
Expertise in Python, TensorFlow, PyTorch, and other ML frameworks.
Strong background in data science, including data analysis and modeling.
Experience with cloud platforms like AWS or Azure for AI solutions.

Hybrid

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