Lead Machine Learning Engineer
Capital One
Lead Machine Learning Engineer
Job Description
Overview
Capital One's Digital Commerce & Innovation organization is seeking a Lead Machine Learning Engineer with a passion for AI to join its Velocity Black by Capital One team. This Director will build and lead exceptional software engineering teams to reimagine concierge for the digital age. They must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-focused solutions in an iterative methodology.As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love.In this role, you will:Design, build and deliver meaningful consumer products powered by the latest technology with a focus on applied AI for web and mobile
Need to wear the ‘Product hat’ with deep empathy for the customer
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One
Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies
Lead the craftsmanship, availability, resilience, and scalability of your solutions
You are deeply technical. You possess a strong foundation in engineering, and your passion for consumer technology and AI enables you to identify and act on user experience optimization opportunities that others miss. (KEEP)
You are familiar with Large Language Models (LLMs) and AI integration optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems (KEEP)
You have experience integrating solutions into a complex web service & mobile application ecosystem
Emphasis on building maintainable, well-tested and resilient solutions.
Passion for staying abreast of the latest research, and an ability to intuitively understand highly technical publications and judiciously apply novel techniques in production.
Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
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 New York, New YorkNew York
Salary
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
- AI integration and Large Language Models (LLMs)intermediate
- Python, Scala, or Java programmingintermediate
- Distributed computingintermediate
- Data pipeline developmentintermediate
- People leadershipintermediate
- Cloud deployment (AWS, Azure, GCP)intermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 6 years designing/building data-intensive solutions using distributed computing (experience)
- At least 4 years programming with Python, Scala, or Java (experience)
- At least 2 years building, scaling, optimizing ML systems (experience)
- Preferred: Master's or Doctoral Degree in CS, EE, Math (experience)
- Preferred: 2+ years people leader experience (experience)
Responsibilities
- Design, build and deliver AI-powered consumer products for web/mobile
- Partner with cross-functional teams to evolve customer interactions
- Work across teams to design, develop, test, implement technical solutions
- Lead craftsmanship, availability, resilience, scalability of solutions
- Build and lead software engineering teams
- Prototype nascent technologies and stay on emerging trends
Benefits
- general: Comprehensive, competitive, and inclusive health benefits
- general: Financial benefits
- general: Other benefits supporting total well-being
Answer 10 quick questions to check your fit for Lead Machine Learning Engineer @ Capital One.
Related Books and Jobs
Lead Machine Learning Engineer
Capital One
Lead Machine Learning Engineer
Job Description
Overview
Capital One's Digital Commerce & Innovation organization is seeking a Lead Machine Learning Engineer with a passion for AI to join its Velocity Black by Capital One team. This Director will build and lead exceptional software engineering teams to reimagine concierge for the digital age. They must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-focused solutions in an iterative methodology.As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love.In this role, you will:Design, build and deliver meaningful consumer products powered by the latest technology with a focus on applied AI for web and mobile
Need to wear the ‘Product hat’ with deep empathy for the customer
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One
Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies
Lead the craftsmanship, availability, resilience, and scalability of your solutions
You are deeply technical. You possess a strong foundation in engineering, and your passion for consumer technology and AI enables you to identify and act on user experience optimization opportunities that others miss. (KEEP)
You are familiar with Large Language Models (LLMs) and AI integration optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems (KEEP)
You have experience integrating solutions into a complex web service & mobile application ecosystem
Emphasis on building maintainable, well-tested and resilient solutions.
Passion for staying abreast of the latest research, and an ability to intuitively understand highly technical publications and judiciously apply novel techniques in production.
Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
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 New York, New YorkNew York
Salary
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
- AI integration and Large Language Models (LLMs)intermediate
- Python, Scala, or Java programmingintermediate
- Distributed computingintermediate
- Data pipeline developmentintermediate
- People leadershipintermediate
- Cloud deployment (AWS, Azure, GCP)intermediate
Required Qualifications
- Bachelor’s Degree (experience)
- At least 6 years designing/building data-intensive solutions using distributed computing (experience)
- At least 4 years programming with Python, Scala, or Java (experience)
- At least 2 years building, scaling, optimizing ML systems (experience)
- Preferred: Master's or Doctoral Degree in CS, EE, Math (experience)
- Preferred: 2+ years people leader experience (experience)
Responsibilities
- Design, build and deliver AI-powered consumer products for web/mobile
- Partner with cross-functional teams to evolve customer interactions
- Work across teams to design, develop, test, implement technical solutions
- Lead craftsmanship, availability, resilience, scalability of solutions
- Build and lead software engineering teams
- Prototype nascent technologies and stay on emerging trends
Benefits
- general: Comprehensive, competitive, and inclusive health benefits
- general: Financial benefits
- general: Other benefits supporting total well-being
Answer 10 quick questions to check your fit for Lead Machine Learning Engineer @ Capital One.
Related Books and Jobs