ML Research Engineer

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 https://www.linkedin.com/in/xerxes-libsch/ and Philip https://www.linkedin.com/in/philip-clark-883a41126/ 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!)