Distinguished Machine Learning Engineer- Software; Remote

Overview

Distinguished Machine Learning Engineer
- Capital One Software (Remote)

Capital One Software is building cloud and data management tools to enable operating at scale in the cloud. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these 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 the lives of our 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 of the organization
• Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an 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

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

• Master’s 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

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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer;
Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer. Other locations’ pay ranges will be as per the applicable location s role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management 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 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 applicable laws and regulations regarding criminal background inquiries.

If you require an accommodation to apply, please contact Capital One Recruiting at or via email at Recruitin For technical support or questions about Capital One's recruiting process, please email

Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Some positions posted are for Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp., as applicable.