Machine Learning Engineer

Distinguished Machine Learning Engineer – Capital One Software (Remote) Join to apply for the Machine Learning Engineer role at iHire Capital One has partnered with iHire to reach top talent for their opening below. Check it out and 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. 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. 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 innersource 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 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 Salary Remote (Regardless of Location): $239,900 – $273,800 for Distinguished Machine Learning Engineer. Richmond, VA: $239,900 – $273,800 for Distinguished Machine Learning Engineer. Benefits 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 Capital One Careers website . Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. Employment Type Part‑time Seniority level Mid‑Senior level Job Function Quality Assurance, Information Technology, and Analyst Industries IT Services and IT Consulting This role is expected to accept applications for a minimum of 5 business days. No agencies please. Legal & 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 the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York Citys Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at [phone removed] or via email at [email removed]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One’s recruiting process, please send an email to [email removed]. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr