Senior Staff Machine Learning Engineer
$315k - $359k • McLean, VA • Full-time
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
We are seeking Machine Learning Engineers passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. You will deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with Product, Architecture, Engineering, and Data Science teams. You will drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems and lead large-scale ML initiatives with the customer in mind.
Responsibilities
- Deliver ML models and software components that solve challenging business problems.
- Drive the creation and evolution of ML models and software for intelligent systems.
- Lead large-scale ML initiatives.
- Leverage cloud-based architectures and technologies for scaled ML model delivery.
- Optimize data pipelines for ML models.
- Evangelize best practices in engineering and modeling lifecycles.
- Help recruit, nurture, and retain top engineering talent.
Requirements
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field.
- At least 10 years of experience programming with Python, Java, Golang, or C++.
- At least 8 years of Machine Learning experience using PyTorch or Tensorflow and libraries like Pandas, NumPy, Scikit-learn.
- At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) for AI/ML data preparation.
- At least 8 years of experience deploying and operating ML solutions in production and cloud environments (AWS, GCP, Azure) using Kubernetes.
- Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field.
- 5+ years of experience architecting and designing large-scale, production ML systems.
- 7+ years of experience optimizing ML algorithms, configurations, and infrastructure.
- 7+ years of experience with various ML techniques, model types, architectures, and training concepts.
- 9+ years of experience designing, implementing, and scaling production-ready data pipelines for ML models.
- Experience shaping long-term, cross-organizational ML strategy.
- Ability to communicate complex technical concepts clearly to executive leadership.
- Recognized leader in the ML industry (conference presentations, papers, blog posts, open source contributions, or patents).
- Experience developing high-performing ML engineers with an inspiring leadership style.
Benefits
- Performance-based incentive compensation (cash bonus/long-term incentives).
- Comprehensive, competitive, and inclusive health, financial, and other benefits.