Senior Public Sector Research Scientist, Machine Learning

Summary

Join Clarifai as a Senior Research Scientist and contribute to applied research initiatives, translating academic insights into production-ready AI solutions, particularly within the national security domain. Collaborate with cross-functional teams to prototype and deliver innovative capabilities. Leverage your expertise in Computer Vision, GenAI, and multi-modal AI to drive strategic advancements and customer success. Contribute to R&D in object detection and multi-object tracking for remote sensing, including Synthetic Aperture Radar (SAR). Design and deliver production-grade code while managing multi-phase development. Collaborate with stakeholders in national security and defense to ensure effective knowledge transfer. Your work will significantly influence Clarifai’s ability to deliver innovative AI solutions to national security and intelligence communities.

Requirements

• 3+ years of hands-on experience developing neural networks, focusing particularly on Computer Vision and/or GenAI
• Expertise in Python, with strong proficiency in libraries such as PyTorch, TensorFlow, or Jax
• Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Engineering, or related fields
• Active Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance or eligibility to obtain one

Responsibilities

• Train, evaluate, and optimize machine learning models for high performance, scalability, and robustness
• Contribute to R&D in object detection and multi-object tracking for remote sensing, including Synthetic Aperture Radar (SAR), and rapidly prototype proof-of-concept systems
• Leverage and build AI data engines—scalable feedback systems that integrate model inference, human-guided labeling, and automated evaluation—to accelerate dataset growth and model refinement
• Design and deliver production-grade, maintainable code while managing multi-phase development aligned to technical and customer objectives
• Collaborate across teams and stakeholders—especially in national security and defense—to ensure effective knowledge transfer and mission-aligned innovation

Preferred Qualifications

• Experience working with government, defense, or intelligence community R&D projects
• Experience developing solutions for Synthetic Aperture Radar (SAR) analysis
• Familiarity with remote sensing data sources, including commercial satellite imagery, UAS video, and NTM
• Experience with LLMs, RAG, PEFT, and multi-modal applications (e.g., Captioning, VQA, cross-modal retrieval)
• Familiarity with the Model Context Protocol (MCP) and its use in structured agent communication, task orchestration, and context management across multi-agent systems
• Published research in Computer Vision, NLP, or multi-modal AI
• PhD in Machine Learning or related disciplines