Distinguished Engineer

Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering or a technical field
• At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems
• At least 5 years of experience developing AI and ML algorithms in Python or C/C++
• At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.
  
  

Preferred Qualifications:

• Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
• Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or Google Cloud Platform.
• Experience architecting cloud systems for security, availability, performance, scalability, and cost.
• Experience with delivering very large models through the MLOps life cycle from exploration to serving.
• Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.
• Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
• Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.
• Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.
  
  

Capital One will consider sponsoring a new qualified 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. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer Remote (Regardless of Location): $232,900 - $265,800 for Distinguished 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. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.