AI/ML Engineer
Core
Fine-tune, adapt, and distill open-weight models into specialized intelligence for public-sector software applications, replacing reliance on general-purpose frontier models.
Role type
Senior IC machine-learning engineer (model engineering)
Builds
AI-native modules and applications for federal agencies (e.g., ticketing platforms, procurement marketplaces, veteran benefit systems)
Domain
Government technology / Federal IT modernization
Deliverable
production ML models
Required skills
Model fine-tuning, dataset curation, training pipeline construction, model evaluation, Python, PyTorch, transformer architectures, supervised fine-tuning, synthetic data generation, preference optimization, reinforcement learning
Preferred skills
Code generation, program synthesis, repository understanding, model distillation, quantization, open-source model contributions
Technologies
Open-weight models, PyTorch, Python
Responsibilities
Curate datasets and build training pipelines; build evaluations on real software engineering tasks; experiment with techniques to improve model behavior on specialized tasks; work with platform engineers to close capability gaps; deliver applications without frontier-model token spend
Seniority
Senior, hands-on IC
