Senior Machine Learning Engineer (Remote-Eligible)

Center 2 (19050), United States of America, McLean, Virginia Senior Machine Learning Engineer (Remote-Eligible) As a Capital One Machine Learning Engineer (MLE), 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. 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. Team Info: The Machine Learning Experience (MLX) team provides the notebook platforms used by Capital One data science and analytics teams for data exploration and model development. We leverage Kubernetes and Open Source Software (e.g. Jupyter, Kubeflow) to scale out our analysis offering to thousands of users and use cases within the enterprise. We provide the notebook interfaces and tools built with Dask, Spark, and GPUs in order to accelerate data exploration and model development. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and deliver ML platform components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Maintain data processing libraries and ML environments for informing ML best practices and performance Leverage or build cloud-based architectures, technologies, and/or platforms to deliver solutions for all aspects of the ML pipeline (analysis, training, serving). Solve complex problems by writing and testing application code, developing and validating ML model solutions, 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 big data and ML applications. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Go, Python, or Scala. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree. At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 3+ years of experience with distributed file systems or multi-node database paradigms 3+ years of experience with container orchestration technologies such as Docker, Kubernetes, ECS 3+ years of experience developing performant, resilient, and maintainable code 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with MLOps / workflow technologies such as Kubeflow, Airflow, Prefect 1+ years of 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 Contributed to open source software At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Location is New York City $156,596 and $184,748 for Senior Machine Learning Engineer Location is Colorado $132,699 and $156,555 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. No agencies please. 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, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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