Sr. Distinguished Machine Learning Engineer
About the role
As a Capital One Machine Learning Engineer, you'll provide technical leadership to engineering teams 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. You’ll serve as a technical domain expert in machine learning, guiding architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of machine learning applications. You'll continuously learn and apply the latest innovations and best practices in machine learning engineering while mentoring other engineers to further develop their technical knowledge and skills.
Responsibilities
- Deliver ML models and software components that solve challenging business problems in the financial services industry, collaborating with Product, Architecture, Engineering, and Data Science teams
- Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
- Lead large-scale ML initiatives with the customer in mind
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Optimize data pipelines to feed ML models
- Use programming languages like Python, Scala, and C/C++
- Leverage compute technologies such as Dask and RAPIDS
- Evangelize best practices in all aspects of the engineering and modeling lifecycles
- Help recruit, nurture, and retain top engineering talent
Requirements
- Bachelor’s degree
- At least 10 years of experience designing and building data-intensive solutions using distributed computing
- At least 7 years of experience programming in C, C++, Python, or Scala
- At least 4 years of experience with the full ML development lifecycle using modern technology in a business-critical setting
Preferred Qualifications
- Master's Degree
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
- 3+ years of experience using Dask, RAPIDS, or in High Performance Computing
- 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
- Ability to communicate complex technical concepts clearly to a variety of audiences
- ML industry impact through conference presentations, papers, blog posts, or open-source contributions
- Ability to attract and develop high-performing software engineers with an inspiring leadership style
Pay
The annual full-time salary ranges for this role are:
- McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer
- Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.