Distinguished Machine Learning Engineer- Software; Remote

Position: Distinguished Machine Learning Engineer- Capital One Software (Remote)
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.

** Responsibilities:
*** 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
* 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+ year 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

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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