Senior Machine Learning Engineer

📋 Description

• Design, build and run production pipelines that turn aerial imagery and other geospatial data into
• Keep those pipelines reliable: monitor runs, diagnose failures and fix root causes.
• Make pipelines faster and cheaper to run through profiling, better use of GPUs and distributed
• Measure the quality of everything we produce and validate every model or pipeline change against
• Turn research models into production systems that run across whole countries.
• Develop geospatial algorithms, such as stitching features across tile boundaries and clipping them

🎯 Requirements

• Bachelor's in Computer Science, Engineering, Statistics, Physics or a related field (Master's or
• 5+ years in a numerical field such as Applied Mathematics, Physical Sciences, Computer Vision or
• Proven ability to write high-quality production numerical code with a focus on business outcomes
• Tech Environment: Scientific Python, Linux, Git
• Software Engineering: modern best practice, clean code, robustness and correctness, building
• Large Data: data too large for memory, computed across multiple nodes on scalable cloud compute

🎁 Benefits

• Hybrid flexibility for this role
• In addition to flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break
• Generous parental leave policies for growing families
• Work from Overseas Policy - explore the world in the approved list of cities while you work!
• Discounted Private Health Insurance plans
• A Nearmap subscription (naturally!)