Distinguished Machine Learning Engineer - Bank Tech

Distinguished Machine Learning Engineer - Bank Tech

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to product ionizing machine learning applications and systems ’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 machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications.

You  have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.

We are seeking a Distinguished Machine Learning Engineer to partner with fraud, risk, data, and platform teams to advance the bank’s proactive fraud prevention strategy, leveraging generative AI technologies to anticipate emerging threats, accelerate insight generation, and enhance decisioning s role will help shape how GenAI capabilities are responsibly applied across the organization to move from reactive detection to proactive, intelligence-driven fraud prevention.

• 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

• Provide guidance on the evaluation and adoption of generative AI techniques and tools, including Lang Chain, Lang Graph, LLMs, RAG, MCP, embeddings, vector stores, and model orchestration frameworks.

• 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

• Drive adoption of proven generative AI patterns across teams by influencing platform design, standards, and technical direction.

• 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, C/C++ Leverage compute technologies such as Dask and RAPIDS

• Evangelize best practices in all aspects of the engineering and modeling life cycles

• Help recruit, nurture, and retain top engineering talent

• Bachelor’s degree

• At least 10 years of experience designing and building data-intensive solutions using distributed computing

• At least 6 years of experience programming in C, C++, Python, or Scala

• At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting

• Master s Degree

• 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models

• 2+ years of experience using Dask, RAPIDS, or in High Performance Computing

• 2+ years of experience with the PyData ecosystem (Num Py, Pandas, and Scikit-learn)

• Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation.

• 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

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.

McLean, VA: $269,100 -…