Senior Machine Learning Engineer - Intelligent Foundations And Experiences (ifx)

Capitalonecareers Com Ph

McLean, VA, USA
Base: $147,100 - $184,600 depending on location; b...
Not specified
Machine learning model development
Distributed computing solutions
Productionizing ml models
Capital One is seeking a Senior Machine Learning Engineer for its Intelligent Foundations and Experiences (IFX) team, focusing on the design, development, and implementation of machine learning applications. The ideal candidate should have significant experience in programming, machine learning frameworks, and data-intensive solutions, along with a strong collaborative mindset within agile teams

Job Summary

  • As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • This role is expected to accept applications for a minimum of 5 business days and Capital One is an equal opportunity employer committed to non-discrimination.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Machine Learning Engineer for its Intelligent Foundations and Experiences (IFX) team, focusing on the design, development, and implementation of machine learning applications. The ideal candidate should have significant experience in programming, machine learning frameworks, and data-intensive solutions, along with a strong collaborative mindset within agile teams.

Salary

Base: $147,100 - $184,600 depending on location; Bonus/Equity: Performance based incentive compensation including cash bonuses and/or long term incentives; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • Machine learning model development
  • Distributed computing solutions
  • Productionizing ML models
  • Cloud-based ML architectures
  • Python, Scala, or Java programming
  • Agile cross-functional collaboration

Nice-to-have

  • Open source ML software contribution
  • Experience with public cloud platforms
  • Responsible and Explainable AI practices
  • Performance optimization of ML systems
  • Data pipeline design and scaling

Key Requirements

  • Bachelor’s Degree
  • At least 4 years programming experience
  • Minimum 3 years distributed computing experience
  • At least 2 years with recognized ML frameworks
  • Minimum 1 year productionizing ML models
  • No immigration sponsorship available

Work Rights

Not specified

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