Mclean, va: $197,300 - $225,100; new york, ny: $21...
Productionizing machine learning applications
Ml architectural design
Develop and review model code
As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale
Job Summary
As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
You will focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Matching Summary
As a Machine Learning Engineer, you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Salary
McLean, VA: $197,300 - $225,100; New York, NY: $215,200 - $245,600; San Francisco, CA: $215,200 - $245,600; San Jose, CA: $215,200 - $245,600; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
productionizing machine learning applications
ML architectural design
develop and review model code
high availability and performance
Python, Scala, or Java programming
cloud-based architectures for ML
optimized data pipelines for ML
Nice-to-have
continuous learning and innovation
collaboration with cross-functional teams
ML industry impact
Responsible and Explainable AI best practices
Key Requirements
Bachelor’s Degree
6 years of experience designing data-intensive solutions
4 years of programming with Python, Scala, or Java
2 years of experience building ML systems
Master's or Doctoral Degree preferred
3+ years of experience building production-ready data pipelines
3+ years of experience with ML frameworks
2+ years of experience developing performant code
2+ years of experience with data gathering and preparation