Remote Senior Research Scientist, Machine Learning
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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.
The Opportunity
As a Senior Research Scientist at Clarifai, you'll contribute to applied research initiatives, converting the latest academic insights into production-ready solutions. You'll collaborate closely with our MLOps, Engineering, Business Development, and Product teams to rapidly prototype and deliver innovative capabilities, particularly within the national security domain. Your deep expertise in Computer Vision, GenAI, and multi-modal AI will drive strategic advancements and customer success.
We seek individuals passionate about impactful AI applications, committed to collaboration, and skilled in managing multi-phase projects from initial proof-of-concept through deployment. Continuous learning and active participation in academic and industry forums are core elements of our research environment.
Key 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
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