Job Summary

• As a Senior Lead 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.
• This role offers the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

Matching Summary

Salary

Cambridge, MA: $229,900 - $262,400; McLean, VA: $229,900 - $262,400; Richmond, VA: $209,000 - $238,500; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Key Requirements

• Bachelor’s Degree
• 8 years of experience designing and building data-intensive solutions
• 4 years of experience programming with Python, Scala, or Java
• 3 years of experience building, scaling, and optimizing ML systems
• 2 years of experience leading teams developing ML solutions
• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 4+ years of experience with an industry recognized ML framework
• 3+ years of experience developing performant, resilient, and maintainable code
• 3+ years of experience with data gathering and preparation for ML models
• 3+ years of people management experience
• 3+ years of experience building production-ready data pipelines

Work Rights