Software Engineer - Generative Data Platform, Evaluation

What you'll do

• Turn partner needs into platform features and help teams build datasets and measure synthetic data’s effect on training and evaluation.
• Assess gaps between synthetic and real data, and develop capabilities to address them.
• Integrate image and video generation models into production pipelines and operate GPU workloads.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or 3 years of equivalent work experience.
• 3+ years building and operating production software in Python.
• Experience debugging production distributed systems or data pipelines; deploying ML models on GPU infrastructure; and designing input validation and configuration contracts.
• Demonstrated ability to explain ML concepts to non-technical partners and hands-on daily use of agentic AI coding tools.

Nice to have

• Experience partnering with internal customers, measuring synthetic-to-real data gaps, or using generative image, video, or large language model APIs.
• Familiarity with image and video formats and metadata standards, batch compute platforms, or job schedulers.

Pay

$150,400 to $225,300 (base salary)

Tools

Python, GPU

AI focus

Build a generative data platform; integrate image and video generation models, evaluate synthetic data against real data, and support model training and evaluation. Use agentic AI coding tools in day-to-day development.