Description
We are seeking a Senior Staff Machine Learning Engineer to join our team at Capital One. 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.
Responsibilities:
- Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the 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, Java, and GoLang.
- 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.
Basic Qualifications:
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- At least 10 years of experience programming with Python, Java, Golang, or C++.
- At least 8 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn).
- At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data.
- At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems.
Preferred Qualifications:
- Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field.
- 5+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference.
- 7+ years of experience optimizing ML algorithms, configurations, and infrastructure.
- 7+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting).
- 9+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
- Experience shaping long term cross-organizational machine learning strategy.
- Ability to communicate complex technical concepts clearly to executive leadership.
- Recognized leader in the ML industry through conference presentations, papers, blog posts, open source contributions or patents.
- Experience developing high-performing ML engineers with an inspiring leadership style.
Salary Information:
- McLean, VA: $314,800 - $359,300 for Sr. Staff Machine Learning Engineer
- Plano, TX: $286,200 - $326,700 for Sr. Staff Machine Learning Engineer
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.