Lead Machine Learning Engineer

Capital One Financial

Quick summary

Work type: On-site
Location: New York, NY · Plano, TX · McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 51 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k

This role $211k

$161k most similar roles pay here $273k

This role pays less than 52% of similar roles. Most pay $184,787–$249,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $217k 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 · Lead Machine Learning Engineer

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The Lead Machine Learning Engineer role is a senior position within the Data Science team at a leading technology firm, focusing on developing advanced AI solutions. This individual will lead the design and implementation of machine learning models to enhance predictive analytics and automate complex business processes. Day-to-day responsibilities include collaborating with cross-functional teams to define project requirements, selecting appropriate algorithms, and deploying scalable ML pipelines using cloud-based technologies. The ideal candidate possesses expertise in Python, R, or Scala, along with experience in frameworks like TensorFlow and PyTorch. Knowledge of big data platforms such as Hadoop and Spark is essential, alongside strong skills in statistical analysis and machine learning techniques. This role addresses critical business challenges by leveraging cutting-edge AI to drive innovation and efficiency at scale.

Skills

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

What you'll do

Design and implement advanced machine learning models to solve complex business problems.
Conduct data analysis to identify trends and insights that inform model development.
Optimize existing algorithms to improve efficiency and accuracy of predictive analytics.
Mentor junior engineers in best practices for machine learning and software engineering.
Stay current with emerging technologies and methodologies in the field of AI.

What we're looking for

Bachelor’s degree required
Extensive experience in machine learning and data science
Proficiency in programming languages such as Python or R
Strong background in statistical analysis and modeling
Experience with cloud platforms like AWS, Azure, or Google Cloud
Ability to lead and mentor a team of engineers and data scientists

Hybrid

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