Senior ML Engineer – Production-Scale Solutions Lead

Capital One; Plano (TX); On-site; USD 286,000 - 327,000; Full time

Job summary

Capital One in Plano, TX seeks a Machine Learning Engineer to provide technical leadership in productionizing ML applications at scale, guiding architectural design, and mentoring engineers.

You will collaborate with product, architecture, data science teams, optimize data pipelines, utilize Python/Scala/C++, Dask, and RAPIDS, and help deliver state-of-the-art ML solutions for financial services.

Qualifications

• Bachelor’s degree required.
• 10+ years designing and building data-intensive solutions with distributed computing.
• 7+ years programming in C, C++, Python, or Scala.
• 4+ years full ML development lifecycle in a business-critical setting.

Responsibilities

• Deliver ML models and software components with cross-functional teams.
• Drive ML model development and scalable intelligent systems.
• Lead large-scale ML initiatives with the customer in mind.
• Leverage cloud architectures to optimize ML models at scale.
• Optimize data pipelines for ML models.
• Use Python, Scala, C/C++ in development.
• Leverage Dask and RAPIDS for computation.
• Promote best practices across engineering lifecycle.
• Help recruit and mentor software engineers.

Skills

Distributed computing

C/C++

Python

Scala

Team leadership

ML engineering

Education

Bachelor’s degree

Master’s degree

Tools

Dask

RAPIDS

NumPy

Pandas

Scikit-learn

Job description

Capital One in Plano, TX seeks a Machine Learning Engineer to provide technical leadership in productionizing ML applications at scale, guiding architectural design, and mentoring engineers.

You will collaborate with product, architecture, data science teams, optimize data pipelines, utilize Python/Scala/C++, Dask, and RAPIDS, and help deliver state-of-the-art ML solutions for financial services.