ML Research Engineer
Company Background:
Specter is creating a software-defined “control plane” for the physical world. We are starting with protecting American businesses by granting them ubiquitous perception over their physical assets.
To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless mesh sensing technology. This allows us to drive down the cost and time of deploying sensors by 10x. Our platform will ultimately become the perception engine for a company’s physical footprint, enabling real-time perimeter visibility and autonomous operations management.
Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.
Role + Responsibilities:
Specter is hiring a perception AI engineer responsible for turning sensor data pipelines into actionable insights for our customers.
Responsibilities include:
Implementing and deploying a variety of deep-learning based vision, vision-language, and large language models to our world-class distributed perception system
Building and scaling a production-grade data-collection, labelling, and model re-training platform
Driving the design behind a multimodal software user interface
Qualifications:
5+ years of experience training, implementing, and deploying deep-learning based computer vision models in tasks such as object detection, semantic segmentation, object tracking, etc. (both single and multi-frame) in frameworks such as PyTorch, TensorRT, and ONNX
Experience fine-tuning, implementing, and deploying vision-language models and large language models in frameworks such as PyTorch, TensorRT-LLM, and ONNX
Experience optimizing model runtimes utilizing techniques such as quantization, pruning, low-rank adaptation, etc. where appropriate
Experience building production-grade RAG pipelines, and scaling vector databases in production
Strong experience in C++/Rust development in embedded systems and knowledge of Linux fundamentals
Strong knowledge of CUDA fundamentals
Experience with image/video processing, filtering, and enhancement. Knowledge of various video codecs desirable.
Experience with variety of sensor types such as EO and IR cameras
Familiarity with Rust (or ability to come up the curve quickly!)