Principal AI Engineer, Machine Learning Operations

📋 Description

• End-to-End Model R&D: Leading full-lifecycle model engineering from initial problem formulation
• Model Robustness & Domain Adaptation: Driving model resilience against challenging real-world
• Production Integration: Ensuring models are reliably trained, versioned, deployed, monitored, and
• Technical Leadership & Strategy: Communicating technical progress, risks, and stack to
• Mentorship & Engineering Culture: Providing technical mentorship, spearheading design reviews
• Other job-related duties as assigned.

🎯 Requirements

• Minimum of 12 years of hands-on software engineering experience, including at least four years
• Bachelor’s degree in computer science, engineering, mathematics, or a related quantitative field
• Expert-level proficiency in Python and demonstrated experience developing deep learning systems
• Proven experience designing, training, evaluating, and deploying production-grade computer vision
• Strong experience working with remote sensing imagery and the unique challenges associated with
• Hands-on experience building geospatial data and CV pipelines using tools such as Rasterio, GDAL

🎁 Benefits

• Medical, dental, vision, disability, group term life and AD&D, voluntary life and AD&D
• 15 days of PTO, 11 Company holidays, four Floating Holidays (pro-rated based on hire date), one day
• 401(k) pre-tax and Roth deferral options with employer match
• Flexible Spending Accounts
• Employee Stock Purchase Program
• Employee Assistance and Travel Assistance Programs