Senior Manager, Machine Learning Engineering
- Employer
- Capital One
- Location
- Richmond, Virginia
- Closing date
- Jul 20, 2021
View more
- Industry
- Financial Services and Banking
- Function
- Finance
- Hours
- Full Time
Job Details
Senior Manager, Machine Learning Engineering
As a Capital One Senior Manager of Machine Learning Engineering, you'll manage an Agile team dedicated to developing, optimizing, delivering, and improving machine learning applications and systems. 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, 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 mentor other engineers and develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
We are seeking Software Engineers who are passionate about marrying data with emerging technologies to join our team. As a Capital One Software Engineer , you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Learn more about #lifeatcapitalone and our commitment to diversity & inclusion by jumping to slides 76-91 on our Corporate Social Responsibility Report. This requisition is an advertisement for multiple opportunities within our Tech organization. By applying to this particular role, you'll also be considered for other roles within Capital One's Engineering Organization .
What you'll do in the role:
- Manage a team of engineers with deep experience in machine learning and distributed systems.
- Lead a portfolio of diverse machine learning projects.
- Deliver ML software models and components that solve real-world business problems, while working in collaboration with our 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 ML models.
- Use programming languages like Python, Scala, or Java.
- Leverage Continuous Integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments 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.
- Attract, recruit, and support diverse ML engineering talent.
- Mentor junior ML 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.
- At least 3 years of people management experience.
Preferred Qualifications
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
- 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
- 3+ years of experience developing performant, resilient, and maintainable code.
- 3+ years of experience with data gathering and preparation for ML models.
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
- ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
- 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.
Company
We Don’t Only Think Big Things—At Capital One, We Do Big Things.
You’re dedicated to your career. You deserve professional satisfaction and personal fulfillment. You belong at Capital One.
Here, every day brings another chance to do impactful work that matters: helping millions of customers confidently manage their money, building stronger communities and delivering truly disruptive tech. You’ll give your all alongside some of the brightest, most resilient people in the industry—and in return, you’ll enjoy the growth opportunities, support, flexibility and benefits you need for an exhilarating life both on and off the job.
Be inspired. Be yourself. That’s #LifeAtCapitalOne.
Creating a Culture of Belonging
At Capital One, we value diversity, inclusion and belonging at our core. We’re building a place of belonging—where everyone can feel seen, heard, valued and free to be their authentic selves. We want to be a place of opportunity—where associates from all backgrounds innovate for our customers and communities, and build meaningful, fulfilling careers.
We endeavor to be a welcoming and inspiring place for all. We seek and embrace diversity. And we’re committed to having a diverse and inclusive workforce, focused on increasing the representation of underrepresented groups, strengthening our culture of inclusion and belonging and harnessing our scale to invest in our communities.
We’re focused on three core principles to advance diversity, inclusion and belonging across Capital One:
Create a culture of belonging where everyone can thrive and innovate
Attract and develop talent from all backgrounds and experiences
Ensure our systems and programs promote fairness and equity
Get a career with more at Capital One. Discover it for yourself today.
Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status.
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