Lead Software Engineer
Capital One
Lead Software Engineer
Job Description
Overview
As a Capital One Machine Learning Engineer, you'll be part of an Agile team 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. Working within an Agile environment, you’ll serve as a technical lead, helping guide 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 software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. ● Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. ● Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. ● Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. ● Construct optimized data pipelines to feed MLmodels. ● Use programming languages like Python, Scala, or Java. ● Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. ● Advocate for software and machine learning engineering best practices. ● Function as the engineering tech lead for large-scale initiatives. ● Recruit and mentor junior engineering talent. Basic Qualifications ● Bachelor’s degree. ● At least 8 years of experience designing and building data-intensive solutions using distributed computing. ● At least 4 years of experience programming with Python, Scala, or Java. ● At least 3 years of experience building, scaling, and optimizing ML systems. ● At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting. ● At least 2 years of experience leading teams developing ML solutions. Preferred Qualifications ● Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. ● Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. ● At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. ● At least 3 years of experience developing performant, resilient, and maintainable code. ● At least 3 years of experience with data gathering and preparation for ML models. ● At least 3 years of people management experience. ● ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. ● At least 3 years of experience building production-ready data pipelines that feed ML models. ● Ability to communicate complex technical concepts clearly to a variety of audiences. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. At this time, Capital One will not sponsor a new applicant for employment authorization for this position.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
- Bengaluru, India Bangalore, KarnātakaBengaluru
Salary
Estimated Salary Rangemedium confidence
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning engineeringintermediate
- Python programmingintermediate
- Scala programmingintermediate
- Java programmingintermediate
- data pipeline constructionintermediate
- cloud architecturesintermediate
- continuous integration and deploymentintermediate
- test automationintermediate
- team leadershipintermediate
- mentoringintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 8 years of experience designing and building data-intensive solutions using distributed computing (experience)
- At least 4 years of experience programming with Python, Scala, or Java (experience)
- At least 3 years of experience building, scaling, and optimizing ML systems (experience)
- At least 2 years of experience with the full ML development lifecycle (experience)
- At least 2 years of experience leading teams developing ML solutions (experience)
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (experience)
- At least 4 years of on-the-job experience with an industry recognized ML framework (experience)
- At least 3 years of people management experience (experience)
Responsibilities
- Deliver ML software models and components that solve real-world business problems
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
- Collaborate as part of a cross-functional Agile team to create and enhance software
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Construct optimized data pipelines to feed ML models
- Function as the engineering tech lead for large-scale initiatives
- Recruit and mentor junior engineering talent
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Lead Software Engineer @ Capital One.
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Lead Software Engineer
Capital One
Lead Software Engineer
Job Description
Overview
As a Capital One Machine Learning Engineer, you'll be part of an Agile team 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. Working within an Agile environment, you’ll serve as a technical lead, helping guide 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 software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. ● Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. ● Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. ● Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. ● Construct optimized data pipelines to feed MLmodels. ● Use programming languages like Python, Scala, or Java. ● Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. ● Advocate for software and machine learning engineering best practices. ● Function as the engineering tech lead for large-scale initiatives. ● Recruit and mentor junior engineering talent. Basic Qualifications ● Bachelor’s degree. ● At least 8 years of experience designing and building data-intensive solutions using distributed computing. ● At least 4 years of experience programming with Python, Scala, or Java. ● At least 3 years of experience building, scaling, and optimizing ML systems. ● At least 2 years of experience with the full ML development lifecycle using modern technology in a business critical setting. ● At least 2 years of experience leading teams developing ML solutions. Preferred Qualifications ● Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. ● Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. ● At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. ● At least 3 years of experience developing performant, resilient, and maintainable code. ● At least 3 years of experience with data gathering and preparation for ML models. ● At least 3 years of people management experience. ● ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. ● At least 3 years of experience building production-ready data pipelines that feed ML models. ● Ability to communicate complex technical concepts clearly to a variety of audiences. At this time, Capital One will not sponsor a new applicant for employment authorization for this position. At this time, Capital One will not sponsor a new applicant for employment authorization for this position.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
- Bengaluru, India Bangalore, KarnātakaBengaluru
Salary
Estimated Salary Rangemedium confidence
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learning engineeringintermediate
- Python programmingintermediate
- Scala programmingintermediate
- Java programmingintermediate
- data pipeline constructionintermediate
- cloud architecturesintermediate
- continuous integration and deploymentintermediate
- test automationintermediate
- team leadershipintermediate
- mentoringintermediate
Required Qualifications
- Bachelor’s degree (experience)
- At least 8 years of experience designing and building data-intensive solutions using distributed computing (experience)
- At least 4 years of experience programming with Python, Scala, or Java (experience)
- At least 3 years of experience building, scaling, and optimizing ML systems (experience)
- At least 2 years of experience with the full ML development lifecycle (experience)
- At least 2 years of experience leading teams developing ML solutions (experience)
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (experience)
- At least 4 years of on-the-job experience with an industry recognized ML framework (experience)
- At least 3 years of people management experience (experience)
Responsibilities
- Deliver ML software models and components that solve real-world business problems
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
- Collaborate as part of a cross-functional Agile team to create and enhance software
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Construct optimized data pipelines to feed ML models
- Function as the engineering tech lead for large-scale initiatives
- Recruit and mentor junior engineering talent
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Lead Software Engineer @ Capital One.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs