Leverage Generative AI technology to support Federal use cases.
Requirements
- Must have hands-on experience in building and deploying generative models, with a portfolio of relevant projects
- Must be proficient in Python, with strong coding practices for scalability and reproducibility.
- Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
- Demonstrated experience manipulating structured and unstructured data for analysis
- Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX.
- Ability to implement and modify complex neural network architectures.
- Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
Responsibilities
- Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
- Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
- Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
- Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning methods to align outputs with user needs and business goals.
- Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems).
- Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG).
- Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, perplexity, and human evaluations.
Other
- Ability to hold a position of public trust with the US government.
- 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
- As part of the application process, you are expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
- We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
