Senior/Staff AI Engineer
Core
Build an end-to-end self-serve toolchain enabling customers to adapt UFORCE AI models on their private data without exposing it to the company.
Role type
Staff AI/ML Engineer (Self-Serve Toolchain)
Builds
Self-serve ML adaptation pipeline, foundation-model-assisted labeling workflows, versioned datasets, and evaluation gates for defense robotics.
Domain
Defense technology, autonomous systems, computer vision, machine learning
Deliverable
production ML models
Required skills
Python, PyTorch, computer vision (detection, segmentation), ML data pipeline ownership, foundation-model-assisted labeling, active learning, model evaluation (leakage prevention, baselines), dataset versioning/lineage, team leadership
Preferred skills
Synthetic data generation, privacy-preserving ML (federated learning, air-gapped), LLM application, sensor fusion, tactical systems
Technologies
SAM-2, Grounding DINO, FiftyOne, lakeFS, DVC, MLflow, Weights & Biases, Kubernetes, Kubeflow, Flyte, Dagster, Airflow, Argo
Responsibilities
Own the ML adaptation pipeline from raw data to deployable models; build foundation-model-assisted labeling workflows; design self-serve operator workflows; create versioned datasets with lineage; build QA methods for pseudo-label errors; develop active-learning loops; build reproducible train/eval pipelines; design evaluation around held-out anchor sets; package toolchain for on-prem/air-gapped environments; lead a small specialist team
Seniority
Staff, hands-on IC with team leadership
