Lead Machine Learning Engineer (Manager IC)

Capital One; McLean (VA); On-site; USD 179,400 - 225,100; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based compensation

Job summary

Capital One is seeking an experienced professional to design, develop, and deploy AI-powered solutions in McLean, Virginia. Ideal candidates will have a strong background in distributed computing and a passion for AI technology.

This role offers a comprehensive benefits package and a competitive salary, ranging from $179,400 to $225,100. Responsibilities include collaborating with engineers and data scientists, optimizing ML systems, and maintaining AI models.

Qualifications

• Bachelor’s Degree is a must.
• 6+ years of experience designing data solutions.
• 4+ years programming with Python, Scala, or Java.
• 2+ years optimizing ML systems.

Responsibilities

• Develop and support AI software components.
• Collaborate on enhancing software with AI capabilities.
• Oversee models in production and optimize data pipelines.

Skills

Python

Distributed computing

Machine Learning

Data pipeline optimization

AI services

Education

Bachelor's Degree

Tools

AWS

TensorFlow

PyTorch

Job description

Responsibilities

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.

• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models.
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Ideal Candidate

You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.

Basic Qualifications

• 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

Preferred Qualifications

• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
• 7+ years of experience designing, developing, delivering, and supporting AI services at scale
• 3+ years of experience building production-ready data pipelines that feed ML models
• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• 3+ years of experience developing AI and ML algorithms or technologies using Python
• 2+ years of experience with Retrieval Augmented Generation (RAG)
• 2+ years of experience with data gathering and preparation for ML models
• 2+ years of people leader experience
• 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

Salary & Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Salaries range from $179,400 to $225,100 depending on location: Cambridge, MA: $197,300 – $225,100; McLean, VA: $197,300 – $225,100; Richmond, VA: $179,400 – $204,700. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the NewYork Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; NewYorkCity’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.