Software Engineer - Generative Data Platform, Evaluation
Core
Build self-service platform features enabling ML teams to generate synthetic datasets for training and evaluating generative AI models.
Role type
Senior IC software engineer (generative data platform)
Builds
Self-service tools and platform for generating large-scale synthetic datasets
Domain
Generative AI, synthetic data, GPU infrastructure
Deliverable
production ML models
Required skills
Python, distributed systems debugging, GPU infrastructure deployment, input validation design, agentic AI coding tools, explaining ML concepts to non-technical partners
Preferred skills
Partner team collaboration, measuring domain gap between synthetic and real data, generative model APIs, image/video file formats, batch compute platforms
Technologies
Python, GPU infrastructure, agentic AI coding tools, generative model APIs
Responsibilities
Partner with ML engineers and designers to turn needs into platform features; Support teams in building datasets and designing model ablations; Explain ML concepts and tradeoffs to non-technical partners; Assess domain gaps between synthetic and real data; Build capabilities to close gaps in synthetic data; Help teams judge generated output; Integrate new image/video generation models into production pipelines; Operate and debug GPU workloads
Seniority
Senior, hands-on IC
