PhD Applied Research Intern

Centific Global Technologies Pte. Ltd.

Job Overview

Location

Remote Work( USA)

Job Type

Full-time

Full Job Description

📋 Description

• Join Centific’s Vision AI team as a PhD Applied Research Intern for a 3–6 month remote engagement focused on deploying computer vision research into live production systems.
• Work directly on real-time video feed processing across active surveillance workflows, implementing AI improvement strategies that ship to production on a daily pipeline cadence.
• Be embedded in a production environment where model performance directly impacts public safety AI programs, with measurable KPIs including hallucination rate reduction, confidence interval narrowing, and F1 score improvements.
• Focus on two of five specialized tracks: NVIDIA VSS/DeepStream Optimization, Teacher→Student Distillation, SEAL Drift Detection & Auto-Correction, Self-Distillation & Confidence Calibration, or Student↔Student Weighted Peer Learning.
• Optimize real-time RTSP feed processing and multi-stream batching to eliminate false positives and reduce hallucinations in surveillance workflows.
• Implement distillation cycles that compress 20+ epoch full retraining into 3-epoch student model passes, maintaining and validating three student model variants with daily pipeline integration.
• Monitor distribution shift using rolling baselines, execute targeted fine-tuning or short retraining cycles when drift thresholds are crossed, and reduce recurring false positives systematically.
• Run self-distillation refinement passes where student models act as their own teachers, applying consistency-based confidence calibration to reduce overconfidence-driven hallucinations.
• Conduct confidence-weighted ensemble computations across three student model variants, monitor inter-student disagreement rates, route high-disagreement frames to human review queues, and perform weekly contribution audits to prevent teacher-bias propagation.
• Monitor daily pipeline KPIs, contribute to post-run analysis, and document all implementation decisions, pipeline changes, and performance results in the team ops ledger.
• Collaborate with senior ML engineers and AI leads to translate academic research into working, measurable systems with real-world impact.
• Gain access to proprietary datasets, annotation infrastructure, and dedicated cloud compute resources for research experimentation.
• Receive mentorship from senior engineers with deep expertise in deployed Vision AI, model distillation, drift correction, and edge inference optimization.
• Earn attribution and credit in Centific’s IP Vault for implemented strategies, with potential for technical blog posts, internal white papers, or co-authorship on applied research artifacts.
• Receive a competitive hourly stipend commensurate with PhD program year and experience, along with a provided laptop and cloud compute credits.
• This is a remote-first role with flexible start dates and rolling admissions; positions are filled as qualified candidates are identified.

🎯 Requirements

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field with a strong orientation toward applied systems and implementation.
• Deep expertise in computer vision fundamentals: convolutional neural networks, transformers (ViT, DETR), and generative models.
• Strong proficiency in Python and deep learning frameworks including PyTorch and/or TensorFlow.
• Hands-on experience with large-scale dataset processing, annotation workflows, or benchmark construction.
• Solid understanding of model training techniques: transfer learning, self-supervised learning, and fine-tuning strategies.
• Strong implementation skills: ability to take a model research concept and produce a working, measurable system quickly; comfort operating in a daily-cadence production pipeline environment.
• Clear written and verbal communication skills; ability to document implementation decisions, pipeline changes, and performance results for both technical and operational audiences.

🏖️ Benefits

• Hands-on ownership of a live, production AI system processing real-world surveillance data daily with measurable KPI targets.
• Mentorship from senior ML engineers and AI leads with deep expertise in deployed Vision AI systems, model distillation, drift correction, and edge inference optimization.
• Direct contribution to measurable performance improvements on a live public safety AI program, including reductions in hallucination rate and gains in F1 score.
• Access to proprietary datasets, annotation infrastructure, and compute resources for research experiments.
• Attribution and credit in Centific’s IP Vault for implemented strategies, with potential for technical blog posts, internal white papers, or co-authorship on applied research artifacts.
• Consideration for full-time opportunities upon PhD completion based on performance.

Skills & Technologies

Python

AWS

Azure

GCP

TensorFlow

Junior

Remote

Degree Required

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

Centific Global Technologies Pte. Ltd.

Visit Website

About Centific Global Technologies Pte. Ltd.

Centific is a data-centric AI services company providing data collection, annotation, and model validation solutions to enterprises and technology vendors. It operates a global crowd platform that combines human intelligence with automation to prepare, curate, and test datasets for computer vision, NLP, and generative AI applications. The company supports full AI lifecycle needs, from training data to reinforcement learning and model safety, serving industries including retail, automotive, healthcare, and technology. Headquartered in Singapore, Centific maintains delivery centers across Asia, Europe, and North America.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.