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Scale AIScale AIWashington, DC

Senior Machine Learning Engineer - Model Evaluations, Public Sector

Senior Machine Learning Engineer building and deploying production GenAI, agentic systems, LLMs, and computer vision models for mission-critical public sector and defense applications at Scale AI. Requires active security clearance, extensive production ML experience, and strong Python/TF/PyTorch skills.

226k – 282k/yr
On-site7+ YOEML Engineering

About the role

Responsibilities

  • Take state-of-the-art models developed internally and from the community, and use them in production to solve problems for customers and taskers.
  • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics.
  • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines.
  • Work with massive datasets to develop both generic models as well as fine-tune models for specific products.
  • Build scalable machine learning infrastructure to automate and optimize our ML services.
  • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations.
  • Learn new technologies quickly and manage multiple priorities in a fast-paced environment.
  • Travel lightly (approximately 10%) for customer interaction and team needs.

Requirements

  • Active security clearance.
  • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment.
  • Solid background in algorithms, data structures, and object-oriented programming.
  • Strong programming skills in Python, experience in TensorFlow or PyTorch.

Nice-to-Haves

  • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization.
  • Experience working with cloud platforms (e.g. AWS or GCP) and deploying machine learning models in cloud environments.
  • Experience with computer vision, generative AI models, large language models, or agentic systems.
  • Familiarity with ML evaluation frameworks and agentic model design.

Compensation and Benefits

  • Base salary range for this full-time position in Washington, DC: $225,750–$282,450.
  • Compensation packages include base salary, equity, and benefits.
  • Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. May be eligible for additional benefits such as a commuter stipend.
  • Equity grant subject to Board of Director approval.

Skills

Generative AIAgentic AInatural language processingDeep Learningdeep reinforcement learningComputer VisionPythonTensorFlowPyTorchAWSGCP

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