Responsibilities
- Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
- Analyzing 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
- Using cloud services to train and deploy ML models
- Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
- Writing technical documentation supporting code, program capabilities, and user-guides
Basic qualifications
- Effective communicator with the ability to write and present technical reports
- Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
- Experience with one or more of the following:
- Applying unsupervised and/or supervised machine learning techniques
- Applying and/or developing algorithms based in statistical analysis
- Analyzing large datasets and building models to perform inference
- BS in machine learning, computer science, mathematics, or relevant fields
- 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
- Active TS/SCI with CI Poly U.S. Government Security Clearance
Preferred qualifications
- MS or PhD in machine learning, computer science, mathematics, or relevant fields
- Experience leading an interdisciplinary team of researchers and software developers
- Experience with any of the following AI/ML domains:
- Large Language Models and experience identifying ways to incorporate them into new areas and applications
- Object detection algorithms such as YOLO and Faster-RCNN
- Natural Language Processing algorithms such as Transformers and RNNs
- Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
- Generative Adversarial Networks and Variational Autoencoders
- Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
- Applying clustering algorithms and/or deep neural networks to real life problems
- Implementing tracking & fusion and pattern-of-life algorithms
- Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with any of the following additional languages: C++, Java, and/or C#
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience with implementing tracking and fusion, and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization
- Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
- Experience shaping and writing proposals
Benefits
- Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Deep Learning Data Science Nlp Computer Vision Pytorch Tensorflow Ai