Machine Learning Engineer
- Employer
- Capital One
- Location
- McLean, Virginia
- Closing date
- Aug 21, 2021
View more
- Industry
- Financial Services and Banking
- Function
- Finance
- Hours
- Full Time
Job Details
Machine Learning Engineer
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 focus on machine learning architectural design, develop and review model and application code, and ensure 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 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:
- 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 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 deployment of ML models and application code.
Basic Qualifications:
- Bachelor's degree.
- At least 1 year of experience designing and building data-intensive solutions using distributed computing.
- At least 1 year of experience programming with Python, Scala, or Java.
- At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
Preferred Qualifications
- Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
- Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.
- 1+ years of experience working with large code bases in a team environment.
- 1+ years of experience with distributed file systems or multi-node database paradigms.
- Contributed to open source ML software.
- 1+ years of experience building production-ready data pipelines that feed ML models.
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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