Plano 1 (31061), United States of America, Plano, Texas
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Sr Manager, Software Engineering - Center for Machine Learning
Are you a high performing software engineering leader and/or data scientist that has experience leading, mentoring and ideally managing a team of data scientists and engineers? Do you enjoy collaborating with your engineering team and your business partners to find creative ways to use machine learning to drive business objectives? You could be a great match for a Senior Manager role at Capital One's Center for Machine Learning (C4ML). C4ML is on a journey to help Capital One become a machine learning company. As a result, we are building an Enterprise ML Platform to enable teams to seamlessly build, deploy, and operate machine learning solutions at scale in a well governed manner.
As a Senior Manager in C4ML, you will manage teams that build fast data and machine learning solutions to create and improve some of the most interesting use cases in the financial services industry. You will work alongside the Directors and Vice Presidents of C4ML to solve critical problems for the organization. You will provide these groups with the benefits of your experience and technical acumen, and be an active practitioner in developing out the roadmap and technical assets. Capital One maintains a full stack of technology solutions including streaming big data, state of the art machine learning, micro-service architecture, distributed computation engines, and intuitive visualizations in the cloud. To manage this, we are working with several cutting-edge technologies and are actively developing and contributing to the open source community. We have the highest executive support for acting as a catalyst of machine learning across Capital One, driving the innovative use of machine learning in the most important Capital One problems.
What you will bring to the role:
Excellent communication skills
Leadership skills, mentorship, and management of team members
Demonstrated ability to build full-stack systems architected for speed and distributed computing.
Demonstrated ability to quickly learn new tools and paradigms to deploy cutting-edge solutions.
Experience teaching junior engineers.
Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations.
What you will do in the role:
Work with subject matter experts in the business to design and deliver production applications that solve their problems through machine learning.
Guide data scientists and full-stack engineers on your team to build sustainable and high-quality software solutions using the latest advancements in data science, data engineering , and cloud-engineering.
Effectively leverage the talent on your team to agilely deliver incremental value
Actively participate in building our organization and growing our talent
Work with these state of the art technologies: Deep Learning, Neural Networks, AWS, Docker, Kubernetes, Go, RUST, GRPC, Git, Jenkins
Bachelor's Degree or Military Experience
At least 1 year of experience delivering production grade machine learning solutions
At least 5 years of experience designing and building full stack solutions
At least 5 years of experience working with Python, Scala or Java
At least 2 years leading teams in code development and balancing feature requests with feasibility constraints
At least 2 years managing people & teams
Bachelor's Degree in Computer Science or Software Engineering
Master's Degree or PhD in Computer Science or Software Engineering
At least 2 years building applications that use statistical or machine learning methods
At least 2 years utilizing distributed computing or cloud-based solutions
A history of publications and conference speaking engagements
Open source contributions in machine learning or data engineering space
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.