ABOUT CLARIFAI

Clarifai is a leading, compute orchestration AI platform specializing in computer vision and generative AI. We empower organizations to transform unstructured image, video, text, and audio data into actionable insights, significantly faster and more accurately than manual processes. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been at the forefront of AI innovation since achieving the top five placements in the 2013 ImageNet Challenge. Our diverse, globally distributed team operates across the United States, Canada, Estonia, Argentina, and India.
We have secured $100M in funding, including a $60M Series C round, backed by industry leaders such as Menlo Ventures, Union Square Ventures, Lux Capital, NEA, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm, and Osage.
Clarifai is proud to be an equal-opportunity workplace committed to building and maintaining a diverse and inclusive team.

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.

• 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.