Principal AI/ML Engineer

The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Responsibilities Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more. Fine tune foundation models and building adaptors for new applications (llama factory, PEFT) Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g.

Weaviate) Build custom applications with LLM frameworks such as LangChain, DSPy Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc) Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications Interface with both internal and external leadership to communicate technical status Qualifications Required Active TS/SCI Clearance BS in machine learning, computer science, mathematics, or related fields. 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following: Fine-tuning foundational models Steering Techniques (e.g Sparse auto encoders, representation tuning) Building adapters to use foundational models (e.g. PEFT, llama factory) Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.) Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone) Using LLM Frameworks (e.g.

LangChain, DSPy) Using AI APIs ( e.g AWS Bedrock, OpenAI) Developing UIs with ReAct Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc. MS or PhD in machine learning, computer science, mathematics, or related fields.

Experience leading an interdisciplinary team of researchers and software developers Experience with any of the following Computer Vision domains: Large Language Models and experience identifying ways to incorporate them into new areas and applications Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision Object detection algorithms such as YOLO and Faster-RCNN Natural Language Processing algorithms such as BERT Generative Adversarial Networks and Variational Autoencoders Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines Applying clustering algorithms and/or deep neural networks to real life problems Implementing tracking and pattern-of-life algorithms Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc. Experience with Linux Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C# Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries Experience with implementing tracking and pattern-of-life algorithms Experience in application deployment, virtualization and containerization (e.g.

Podman, Docker, Kubernetes, Rancher) Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.) Experience shaping and writing proposals #J-18808-Ljbffr