Distinguished Machine Learning Engineer- Software; Remote

Distinguished Machine Learning Engineer
- Capital One Software (Remote) at Capital One summary:

The Distinguished Machine Learning Engineer at Capital One leads the development and deployment of advanced machine learning models and cloud-based data management tools to support scalable business solutions. This role requires expertise in Python, Java, Go, SQL, and cloud technologies such as AWS, Databricks, and Snowflake, with responsibilities including mentoring, innovation, and cross-functional collaboration. The position is remote, focuses on transforming enterprise data infrastructure, and contributes to Capital One's goal of delivering cutting-edge technology solutions to the market.

Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud.

And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.

Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way.

Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.

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

Basic Qualifications:

• Bachelors Degree

• At least 7 years of experience in Software Engineering

• At least 5 years of experience in Machine Learning Systems and Infrastructure

Preferred Qualifications:

• 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

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

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