
PhD Applied Research Intern
Posted Jun 12

Posted Jun 12
This is a fully remote position, open to applicants in United States.
• We are looking for a highly driven PhD intern to become part of Centific’s Vision AI team for a duration of 3 to 6 months.
• This position is focused on applied research for doctoral candidates eager to extend their expertise beyond the lab and actively engage in a live AI operations program.
• You will be integrated into a production computer vision system that processes real-time video feeds across various active detection workflows.
• Collaboration with senior engineers and ML leads will be key as you implement, optimize, and evaluate AI enhancement strategies that are deployed to production on a daily basis.
• The main focus is on development and deployment: converting model research into functional, measurable systems that enhance real-world detection performance.
• Throughout all areas of concentration, the intern will track daily pipeline KPIs, assist in post-run analyses, and document implementation decisions in the team operations ledger.
• Currently pursuing a PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on applied systems and implementation.
• Profound knowledge of computer vision fundamentals, including convolutional neural networks, transformers (ViT, DETR), and generative models.
• Strong command of Python and deep learning frameworks such as PyTorch and/or TensorFlow.
• Practical experience with large-scale dataset processing, annotation workflows, or benchmark creation.
• Robust understanding of model training techniques including transfer learning, self-supervised learning, and fine-tuning strategies.
• Excellent implementation skills: capability to quickly transform a model research concept into a functioning, measurable system while feeling comfortable in a daily-cadence production pipeline environment.
• Strong written and verbal communication abilities; capacity to document implementation decisions, pipeline modifications, and performance results for both technical and operational audiences.
• Hands-on ownership of a live, production AI system that processes real-world surveillance data daily, with measurable KPI targets, real drift events, and significant deployment decisions.
• Mentorship from experienced ML engineers and AI leads with extensive expertise in deployed Vision AI systems, model distillation, drift correction, and edge inference optimization.
• Direct involvement in tangible performance improvements, including reductions in hallucination rate, narrowing of confidence intervals, and F1 score enhancements on a live public safety AI initiative.
• Access to proprietary datasets, annotation infrastructure, and computational resources for research experiments.
• Recognition and credits in Centific’s IP Vault for implemented strategies and contributions to methodology, with potential opportunities for technical blog posts, internal white papers, or co-authorship on applied research artifacts generated from the program.
• Consideration for full-time positions following PhD completion based on performance.
Commonwealth Associates, Inc.
EMR
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