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Percepta

Cloud-based video analytics for shoplifting detection

Research Scientist - Optimization

AI ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics, or equivalent research or industry experience.
  • Depth in operations or mathematical optimization, including linear programming, mixed-integer programming, mixed-integer nonlinear programming, constraint programming, and stochastic or robust optimization.
  • Experience in novel machine learning techniques for Operations Research, including test-time search and reinforcement learning for sequential decision-making.
  • Ability to implement fast real-time optimization systems, debug large-scale optimization systems, and/or design benchmarks with real, defensible ground truth.
  • Motivation to make an impact in critical industries including healthcare, supply chains, energy, and finance.
  • A proven track record of execution.
  • Ability to communicate with technical and non-technical stakeholders.

Responsibilities

  • Set and drive ambitious research programs that expand what's achievable in data-driven decision-making, building on forecasts and user models produced by research tracks.
  • Invent optimization methods for high-impact problems such as planning, scheduling, routing, pricing, and inventory, combining test-time search and reinforcement learning with classical linear programming, mixed-integer programming, and constraint programming formulations.
  • Build high-fidelity simulators and rigorous, replayable benchmarks that mirror real-world constraints, uncertainty, and multi-objective trade-offs, enabling validation before decisions affect a real patient, member, or asset.
  • Move optimizers from benchmark results into production systems that run in real time and learn from outcomes every week.
  • Partner with engineers to rapidly prototype solutions and implement successful research ideas across live customer engagements.

About the Company

Percepta

Cloud-based video analytics for shoplifting detection

Percepta Labs builds cloud-based video analytics for retail loss prevention. It ingests retailers’ existing security camera feeds and uses action recognition and pose estimation to identify behaviors that could indicate shoplifting in real time, then assigns a probability that a theft is happening. The system emphasizes ethical AI by anonymizing demographic features (race, gender, age) to avoid bias and protect privacy. The product is sold to retailers to help reduce shrinkage and improve margins, with early testing claiming higher accuracy than human loss-prevention staff. Percepta’s growth has been supported by a major investment from ADT Commercial, which acquired the company and appointed its co-founder as ADT’s first Director of Artificial Intelligence. The company’s goal is to provide scalable, privacy-conscious video analytics that help retailers prevent theft more efficiently and cost-effectively.

Company size
1-10
Company stage
Seed
Total funding
$1M
Headquarters
New York City, New York
Founded
2019

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