11 months ago
Responsibilities
- Implement and deploy deep-learning vision, vision-language, and large language models to a distributed perception system.
- Build and scale a production-grade data-collection, labeling, and model-retraining platform.
- Drive the design of a multimodal software user interface.
Requirements
- 5+ years of experience training, implementing, and deploying deep-learning computer vision models for tasks such as object detection, semantic segmentation, and object tracking.
- Experience fine-tuning, implementing, and deploying vision-language models and large language models.
- Experience with model-runtime optimization techniques such as quantization, pruning, and low-rank adaptation.
- Experience building production-grade RAG pipelines and scaling vector databases in production.
- Strong C++ or Rust development experience in embedded systems and knowledge of Linux fundamentals.
- Strong knowledge of CUDA fundamentals.
- Experience with image and video processing, filtering, and enhancement; knowledge of video codecs is desirable.
- Experience with sensor types such as EO and IR cameras.
- Familiarity with Rust or the ability to learn it quickly.
About Specter
Specter delivers real-time data and insights on private companies, enabling investors to make informed, confident decisions. Harness the power of live data and AI-driven analysis to outsmart the competition and make confident decisions in private markets.