Distinguished Machine Learning Engineer
Capital One
Distinguished Machine Learning Engineer
Job Description
Overview
Overview:As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What you’ll do in the role:Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent
Bachelor’s degree
At least 10 years of experience designing and building data-intensive solutions using distributed computing
At least 6 years of experience programming in C, C++, Python, or Scala
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting
Master's Degree
3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
2+ years of experience using Dask, RAPIDS, or in High Performance Computing
2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Ability to communicate complex technical concepts clearly to a variety of audiences
ML industry impact through conference presentations, papers, blog posts, or open source contributions
Ability to attract and develop high-performing software engineers with an inspiring leadership style
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
- New York, New York, United States
- San Francisco, California, United States
- San Jose, California, United States
- Cambridge, Massachusetts, United States
- McLean, Virginia New York, New YorkCambridge
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
- Machine Learningintermediate
- Pythonintermediate
- Scalaintermediate
- C/C++intermediate
- Daskintermediate
- RAPIDSintermediate
- PyData ecosystem (NumPy, Pandas, Scikit-learn)intermediate
- cloud-based architecturesintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 10 years of experience designing and building data-intensive solutions using distributed computing (experience)
- At least 6 years of experience programming in C, C++, Python, or Scala (experience)
- At least 3 years of experience with the full ML development lifecycle (experience)
- Master's Degree (preferred) (experience)
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines (preferred) (experience)
Responsibilities
- Deliver ML models and software components that solve business problems
- Drive the creation and evolution of ML models and software
- Lead large-scale ML initiatives with the customer in mind
- Leverage cloud-based architectures to deliver optimized ML models at scale
- Optimize data pipelines to feed ML models
- Evangelize best practices in engineering and modeling lifecycles
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.
Related Books and Jobs
Distinguished Machine Learning Engineer
Capital One
Distinguished Machine Learning Engineer
Job Description
Overview
Overview:As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.What you’ll do in the role:Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent
Bachelor’s degree
At least 10 years of experience designing and building data-intensive solutions using distributed computing
At least 6 years of experience programming in C, C++, Python, or Scala
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting
Master's Degree
3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
2+ years of experience using Dask, RAPIDS, or in High Performance Computing
2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Ability to communicate complex technical concepts clearly to a variety of audiences
ML industry impact through conference presentations, papers, blog posts, or open source contributions
Ability to attract and develop high-performing software engineers with an inspiring leadership style
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
- New York, New York, United States
- San Francisco, California, United States
- San Jose, California, United States
- Cambridge, Massachusetts, United States
- McLean, Virginia New York, New YorkCambridge
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
- Machine Learningintermediate
- Pythonintermediate
- Scalaintermediate
- C/C++intermediate
- Daskintermediate
- RAPIDSintermediate
- PyData ecosystem (NumPy, Pandas, Scikit-learn)intermediate
- cloud-based architecturesintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 10 years of experience designing and building data-intensive solutions using distributed computing (experience)
- At least 6 years of experience programming in C, C++, Python, or Scala (experience)
- At least 3 years of experience with the full ML development lifecycle (experience)
- Master's Degree (preferred) (experience)
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines (preferred) (experience)
Responsibilities
- Deliver ML models and software components that solve business problems
- Drive the creation and evolution of ML models and software
- Lead large-scale ML initiatives with the customer in mind
- Leverage cloud-based architectures to deliver optimized ML models at scale
- Optimize data pipelines to feed ML models
- Evangelize best practices in engineering and modeling lifecycles
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.
Related Books and Jobs