Machine Learning Engineer

--01-01

Salary Range:
Up to $190K

salary is commensurate with education and experience

The Sponsor seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions. The Sponsor needs experienced AI/ML engineering skills to build tools and analytics that use the Sponsor’s structured and unstructured data to yield novel analytic insights, accelerate workflows, enable analysts to surface relevant information from massive data stores.

The work will be performed within a team environment.

Please note:
This job requires an existing Top Secret Clearance and Polygraph

• Leverage open source best-in-class models to create new models—through fine tuning, transfer learning, and more— and ensembles that can be re-purposed and reused, covering the following domains:
  • Classification
  • Supervised (CNN, Unet, YOLO, or similar)
  • Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar)
  • Prediction
  • Predictors (LSTM, UConv, or similar)
  • Regressors (Bayesian, linear, or similar)
  • Fusion (sensor level and entity level)
  • Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar)
  • Generative (LLMs, Stackable LLMs, or similar)
  • Machine Learning, AI, Deep Learning (Tensor Flow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar.
• Analyze large amounts of raw data, including text data, to determine utility for training or testing AI models.
• Preprocess or clean structured and unstructured Sponsor data, including text data.
• Design and implement advanced ETL code and table configurations for complex data sets.
• Use Structured Query Language (SQL) to develop and organize relevant information.
• Cooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates, and document methods in Github.
• Implement the Sponsor’s existing coordination process.
• Provide technical education to staff on an ad-hoc basis.
• Provide subject matter expertise in AI/ML to support Sponsor’s initiatives.

• Citizenship:
  Must Be a US Citizen
• Existing
  
  Clearance Required:
  
  Active Top Secret SCI with Poly
• Minimum Bachelor's Degree required
• Expert level experience required
• Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience using Python or R.
• (KEY) Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
• (KEY) Demonstrated professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems)
• (KEY) Demonstrated professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark
• (KEY) Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• (KEY) Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• (KEY) Demonstrated experience…