Senior Staff Engineer Machine Learning
Core
Lead research strategy for Fine-Grained Visual Recognition and Data-Centric AI, bridging academic research with production-grade solutions for public safety technologies.
Role type
Senior Staff Engineer Machine Learning (AI Research)
Builds
Next-generation capabilities like semantic scene understanding, open-vocabulary search, and automated data pipelines for edge devices.
Domain
Computer Vision, Generative AI, Public Safety
Deliverable
production ML models
Required skills
Deep Learning architectures (Transformers, CNNs), Generative AI & Multimodal models (CLIP, Diffusion), Data-Centric AI & Agentic workflows, Python/C++ programming, MLOps practices
Preferred skills
0-to-1 product lifecycle experience, leading technical teams in R&D, hands-on experimentation
Technologies
PyTorch, TensorFlow, ViT, Swin, EfficientNet, ResNet, CLIP, LLaVA
Responsibilities
Lead R&D of high-performance models for Fine-Grained Visual Categorization and Hierarchical Classification; Spearhead exploration of Vision Language Models and CLIP-based architectures; Architect and implement AI Agentic Workflows for data lifecycle automation; Drive transition of models from research prototypes to production on edge devices; Identify and spearhead strategic research opportunities.
Seniority
Senior Staff, hands-on IC with strategic leadership
