Capital One
Lead Machine Learning Engineer (Finance Tech - AI Enablement)
$197K–$246K
Cambridge, MA +2 · Full-time · Posted Jul 14, 2026
- Location
- Cambridge, MA
New York, NY
McLean, VA - Experience
- At least 6 years in distributed-computing data-intensive solutions, 4 years programming with Python, Scala, or Java, and 2 years building, scaling, and optimizing ML systems. Preferred experience includes 7+ years supporting AI services at scale and other experience thresholds of 1–3+ years.
- Education
- Bachelor’s Degree; preferred Master's or Doctoral Degree in a similar field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Lead Finance Tech AI enablement by building, deploying, and supporting machine-learning systems and customer- or associate-facing AI use cases.
What you'll do
- Design, develop, test, deploy, and support AI components, including model evaluation, LLM inference, similarity search, guardrails, governance, observability, and agentic AI.
- Fine-tune, develop, evaluate, retrain, maintain, and monitor models; build optimized data pipelines for them.
- Partner with cross-functional teams to deliver AI products and contribute technical vision and responsible AI practices.
What they ask for
- Bachelor’s Degree.
- At least 6 years of experience designing and building data-intensive solutions using distributed computing; internship experience does not apply.
- At least 4 years of experience programming with Python, Scala, or Java.
- At least 2 years of experience building, scaling, and optimizing ML systems.
Nice to have
- Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field.
- Experience with production AI services at scale, ML frameworks, data pipelines, RAG, public-cloud AI/ML, or people and team leadership.
Pay
USD $197,300 - $225,100 base salary (Cambridge, MA); USD $197,300 - $225,100 base salary (McLean, VA); USD $215,200 - $245,600 base salary (New York, NY)
Tools
Python, Scala, Java, scikit-learn, PyTorch, Dask, Spark, TensorFlow
AI focus
Develop and deploy AI enablement solutions for Finance, including foundation and machine-learning models, RAG, LLM inference, agentic AI, and responsible, governed production systems.
Model-written summary · the original posting is authoritative