Distinguished Machine Learning Engineer- Capital One Software; Remote

Overview

Distinguished Machine Learning Engineer
- Capital One Software (Remote)

Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud, addressing challenges such as data publishing, data consumption, data governance, and infrastructure management. Capital One Software will continue to explore opportunities to bring solutions to market to help other businesses address these needs.

We are seeking top tier talent to join our pioneering team. As a Capital One Distinguished Machine Learning Engineer, you’ll be on the forefront of building this business and bringing tools to market.

• Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
• Collaborate on Capital One’s toughest issues to deliver on business needs that directly impact customers and associates
• Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
• Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible
• Effectively communicate with and influence key stakeholders across the enterprise, at all levels
• Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in a unified manner
• Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

• Bachelors Degree
• At least 7 years of experience in Software Engineering
• At least 5 years of experience in Machine Learning Systems and Infrastructure

• Masters’ Degree
• 7+ years of experience using Python, Java, Go, and SQL
• 6+ years of experience deploying machine learning models
• Ability to understand deploying Machine Learning models in production environments at scale
• Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs
• 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
• 3+ years of experience with Databricks or Snowflake
• Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction

Note: At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer. Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer. Salaries for other locations will reflect the pay range for that location in the offer letter. This role may be eligible for performance-based incentive compensation, which may include cash bonuses or long-term incentives.

Capital One offers a comprehensive, inclusive set of health, financial and other benefits. Learn more at the Capital One Careers website. Eligibility varies by status and level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in accordance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider qualified applicants with criminal histories in a manner consistent with applicable laws and regulations.