Senior ML Engineer - Scale AI in Production

ITSMF; McLean (VA); On-site; USD 315,000 - 359,000; Full time

Benefits offered by this job

None

Job summary

Capital One is seeking a Senior Staff Machine Learning Engineer to push AI transformations and scale production ML systems across financial services. You will work with product, architecture, engineering and data science teams to deliver cutting-edge ML solutions.

You will lead large-scale initiatives, optimize data pipelines, and evangelize best practices across the ML lifecycle while mentoring engineers and contributing to a culture of innovation.

Qualifications

• 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 (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 ML software systems

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

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

Dask

RAPIDS

AWS

GCP

Azure

Education

Bachelor's Degree or higher in Computer Science, ML or related quantitative field

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field

Job description

Capital One is seeking a Senior Staff Machine Learning Engineer to push AI transformations and scale production ML systems across financial services. You will work with product, architecture, engineering and data science teams to deliver cutting-edge ML solutions.

You will lead large-scale initiatives, optimize data pipelines, and evangelize best practices across the ML lifecycle while mentoring engineers and contributing to a culture of innovation.