Machine Learning Engineer

About The Company
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 pioneers in adopting the public cloud, Capital One has developed proprietary cloud and data management tools to operate at scale in the cloud environment. In 2022, the company publicly announced Capital One Software and launched its first B2B software solution, Slingshot, to market. Building on its innovative approach, Capital One Software aims to accelerate data management capabilities for businesses operating in the cloud by providing solutions for data publishing, consumption, governance, and infrastructure management. The company continues to explore new market opportunities to help other organizations address their data needs effectively.

About The Role
We are seeking a distinguished Machine Learning Engineer to join our innovative team at Capital One Software. In this role, you will be at the forefront of building and deploying advanced machine learning models and infrastructure that support our cloud-based data management solutions. You will collaborate with cross-functional teams to develop scalable ML systems, influence enterprise-wide technology adoption, and mentor internal talent.

As a key contributor, you will help shape the future of our machine learning capabilities, ensuring that our solutions are efficient, reliable, and aligned with business objectives. This is a remote position offering the opportunity to work with industry-leading professionals committed to pushing the boundaries of technology and data science.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, or related field
• At least 7 years of experience in Software Engineering
• Minimum of 5 years of experience in Machine Learning Systems and Infrastructure
• Proficiency in Python, Java, Go, and SQL
• Experience deploying machine learning models in production environments at scale
• Knowledge of large language models (LLMs), prompt engineering, fine-tuning, evaluation, and alignment of LLMs
• Hands-on experience with Kafka, Airflow, Spark, AWS Glue/Kinesis
• Experience with Databricks or Snowflake
• Familiarity with LLM Ops tooling, model versioning, deployment, cost optimization, and latency reduction

Responsibilities

• Build awareness, increase knowledge, and drive adoption of modern technologies by demonstrating their benefits to stakeholders
• Collaborate on solving complex business challenges that impact customers and employees
• Balance technical expertise with fostering an inclusive environment where diverse ideas are encouraged and championed
• Promote a culture of engineering excellence by reusing and contributing to internal solutions where possible
• Communicate effectively with stakeholders across all levels of the organization to influence technology decisions
• Operate as a trusted advisor in specific technology or platform domains, shaping use cases and implementation strategies
• Mentor internal talent and actively participate in recruiting efforts to strengthen the technical team

Benefits

• Competitive salary and performance-based incentives including cash bonuses and long-term incentives
• Comprehensive health, dental, and vision insurance plans
• Financial wellness programs and retirement savings options
• Paid time off and flexible work arrangements
• Opportunities for professional development and continuous learning
• Inclusive and diverse workplace culture

Equal Opportunity

Capital One is an equal opportunity employer committed to non-discrimination in all aspects of employment. We welcome applicants from diverse backgrounds and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. We promote a drug-free workplace and consider qualified applicants with criminal histories in accordance with applicable laws.