Capital One: Distinguished Machine Learning Engineer - Capital One Software (Remote)
Source: weworkremotely
Headquarters: New York
Capital One Software is seeking a Distinguished Machine Learning Engineer to join their pioneering team. This role offers the opportunity to be at the forefront of building and bringing innovative tools to market.
About the Role
Capital One recognized early on that technology and data can drive innovation. Capital One Software is helping accelerate the data management journey for businesses operating in the cloud. This role involves working with a team of innovative product, tech, and design leaders.
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 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 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
Compensation
Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer
Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Additional Information
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. 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.
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination.
If you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information provided will be kept confidential.
For technical support or questions about Capital One's recruiting process, please send an email to .
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).