Distinguished Machine Learning Engineer- Capital One Software (Remote)
Capital One
Distinguished Machine Learning Engineer- Capital One Software (Remote)
Job Description
Overview
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 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
Bachelors Degree
At least 7 years of experience in Software Engineering
At least 5 years of experience in Machine Learning Systems and Infrastructure
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
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- Richmond, Virginia, United States (Remote)
- Remote Richmond, VirginiaNew York, New YorkMcLean (Remote)
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software Engineeringintermediate
- Machine Learning Systems and Infrastructureintermediate
- Python, Java, Go, and SQLintermediate
- Deploying machine learning modelsintermediate
- Large Language Models (LLMs) prompt engineeringintermediate
- Kafka, Airflow, Spark, AWS Glue/Kinesisintermediate
Required Qualifications
- Bachelors Degree (experience)
- At least 7 years of experience in Software Engineering (experience)
- At least 5 years of experience in Machine Learning Systems and Infrastructure (experience)
- Masters’ Degree (preferred) (experience)
Responsibilities
- Build awareness, increase knowledge and drive adoption of modern technologies
- Collaborate on Capital One’s toughest issues to deliver on business needs
- Promote a culture of engineering excellence
- Effectively communicate with and influence key stakeholders across the enterprise
- Operate as a trusted advisor for a specific technology, platform or capability domain
- Lead the way in creating next-generation talent for Tech, mentoring internal talent
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Distinguished Machine Learning Engineer- Capital One Software (Remote) @ Capital One.
Distinguished Machine Learning Engineer- Capital One Software (Remote)
Capital One
Distinguished Machine Learning Engineer- Capital One Software (Remote)
Job Description
Overview
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 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
Bachelors Degree
At least 7 years of experience in Software Engineering
At least 5 years of experience in Machine Learning Systems and Infrastructure
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
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- Richmond, Virginia, United States (Remote)
- Remote Richmond, VirginiaNew York, New YorkMcLean (Remote)
Salary
45,000 - 80,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Software Engineeringintermediate
- Machine Learning Systems and Infrastructureintermediate
- Python, Java, Go, and SQLintermediate
- Deploying machine learning modelsintermediate
- Large Language Models (LLMs) prompt engineeringintermediate
- Kafka, Airflow, Spark, AWS Glue/Kinesisintermediate
Required Qualifications
- Bachelors Degree (experience)
- At least 7 years of experience in Software Engineering (experience)
- At least 5 years of experience in Machine Learning Systems and Infrastructure (experience)
- Masters’ Degree (preferred) (experience)
Responsibilities
- Build awareness, increase knowledge and drive adoption of modern technologies
- Collaborate on Capital One’s toughest issues to deliver on business needs
- Promote a culture of engineering excellence
- Effectively communicate with and influence key stakeholders across the enterprise
- Operate as a trusted advisor for a specific technology, platform or capability domain
- Lead the way in creating next-generation talent for Tech, mentoring internal talent
Benefits
- general: Comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Distinguished Machine Learning Engineer- Capital One Software (Remote) @ Capital One.