As a Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale
Job Summary
As a Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.
You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
Matching Summary
As a Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Salary
Cambridge, MA: $229,900 - $262,400; McLean, VA: $229,900 - $262,400; New York, NY: $250,800 - $286,200; San Francisco, CA: $250,800 - $286,200; San Jose, CA: $250,800 - $286,200; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
design and build ML models
develop and validate ML models
automate tests and deployment
collaborate in Agile teams
maintain and monitor production models
build cloud-based architectures
construct optimized data pipelines
leverage CI/CD best practices
ensure code security and governance
apply Responsible and Explainable AI
Nice-to-have
continuous learning and innovation
communication of complex concepts
industry impact through publications
Key Requirements
Bachelor’s Degree
8+ years of experience designing data-intensive solutions
4+ years of programming with Python, Scala, or Java