Nlp Developer

 Herndon, VA
About Us:
We are looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, our cutting edge AI/Client Platform. As part of the machine learning team, you are instrumental in supporting the automated monitoring mission. You will help ensure that Spectra AI produces consistent, reliable, and relevant analytics to our growing user base.
This position is a critical element of the AI/Client Engineering team and is expected to work collaboratively with external satellite development teams to ensure success.  The ideal candidate has AI model development, operations, and test experience; familiarity with national security use cases; and success working in an agile development environment. Additionally, the ideal candidate has demonstrated the ability to manage their own efforts over a broad scope of work as an independent contributor. Finally, the candidate should be an independent thinker with the demonstrated ability and willingness to lean in and solve new problems.
Responsibilities:

• Design and implement machine learning and statistical solutions that can extract geospatial information from natural language.
• Adapt state of the art NLP research into production models.
• Provide insight into methods that use NLP to further enhance the effectiveness of Spectra AI.
• Use Natural Language Processing and related statistical methods to solve customer specific problems.
• Collaborate with software developers to plan and construct the model deployment architecture. 

Qualifications:

• 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing
• Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field
• Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
• Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
• Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
• Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.
• Experience performing research collaboratively and independently with a history of implementing algorithms directly from research papers.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
• US Citizenship Required.

Desired Skills:

• 8+ years of hands-on experience as a machine learning engineer or data scientist.
• Ph.D./Master's degree in the previously mentioned fields.
• Experience working with remote sensing data, ideally satellite imagery.
• An understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.
• Exposure to Probabilistic Programming, including open source libraries such as PyMC3, PyMC4, Edward, Stan, and/or TensorFlow Probability
• Experience with Attention based NLP models such as BERT (and BERT derivatives) and GPT-2/3
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).