Machine Learning Engineer

Distinguished Machine Learning Engineer - Capital One Software (Remote)

Capital One has partnered with iHire to reach top talent for this opening. Apply via iHireTechnology today.

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.

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. We have built tools to address challenges such as data publishing, consumption, governance, and infrastructure management.

We are seeking top tier talent to join our pioneering team and propel us toward our destination. As a Capital One Distinguished Machine Learning Engineer, you will be on the forefront of building this business and bringing our 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 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, reusing and inner sourcing 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.

Basic Qualifications

• Bachelor’s Degree.

• At least 7 years of experience in Software Engineering.

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

Preferred Qualifications

• 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 evaluate and align 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.

Additional Information

Salaries for remote range from $239,900 – $273,800. The role is eligible for performance‑based incentive compensation. Capital One offers comprehensive benefits. For details, visit the Capital One Careers website.

Equal Opportunity

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.

#JLjbffr