Panoptyc Logo

Panoptyc

Computer Vision Lead (R&D)

Reposted Yesterday
Be an Early Applicant
Remote
14 Locations
Senior level
Remote
14 Locations
Senior level
Lead the development of AI and computer vision systems from concept to production, managing a team and driving R&D initiatives at Panoptyc.
The summary above was generated by AI


Location: Remote
About Panoptyc

At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security.

We're looking for a technical trailblazer—a hacker, builder, and visionary leader who can turn bold ideas into working systems. As our Computer Vision Lead (R&D), you'll lead the charge on building next-gen AI and computer vision products from 0 to 1, managing a lean team of engineers while still getting your hands dirty on high-impact technical work.

You’ll prototype quickly, validate in the field, and guide the evolution of our most ambitious products—starting with theft detection in retail environments used by thousands of stores.

What You’ll Do

  • Lead and manage a small team of engineers to prototype and productize computer vision and AI systems

  • Personally build and own early-stage proofs-of-concept, rapidly iterating and validating in the real world

  • Define and prioritize the technical R&D roadmap in collaboration with product and business leads

  • Architect scalable systems that transition from lab to production (edge and/or cloud)

  • Vet new models, data architectures, and hardware deployments

  • Be a key thought partner in setting technical direction for entirely new product lines

What We’re Looking For

  • 8+ years in engineering roles with deep experience in AI, ML, and computer vision

  • Proven track record of building 0 → 1 products or technical breakthroughs that went to market

  • Strong hands-on skills with ML frameworks (e.g., PyTorch, TensorFlow), video analytics (e.g., OpenCV), and deployment tooling (e.g., ONNX, Triton, containers)

  • Comfortable leading and scaling small engineering teams

  • Hacker energy: fast, creative, scrappy, and resourceful

  • Experience creating data pipelines for and categorizing vast sets of video training data.

  • Bonus: Experience with edge computing, streaming pipelines, or hardware deployment in retail, robotics, or surveillance settings

Why This Role?

  • Lead and shape R&D at a company already deployed in 20,000+ stores and catching hundreds of thousands of thefts a year

  • Work with Fortune 500 retailers solving real-world loss prevention with cutting-edge AI

  • Huge ownership: lead products with the potential to become $500M+ businesses

  • Fast-moving, well-resourced team with real traction

  • Fully remote role (globally)

  • Up to $80 USD/hr


Ready to build real-world AI that scales? Apply now. Let’s talk.

Top Skills

AI
Computer Vision
Containers
Ml
Onnx
Opencv
PyTorch
TensorFlow
Triton

Similar Jobs

8 Hours Ago
Remote or Hybrid
Madrid, Comunidad de Madrid, ESP
15-15 Annually
Expert/Leader
15-15 Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Customer Success Executive leads post-sales activities, fosters strategic relationships with C-level executives, drives business transformation, and ensures customer satisfaction and value realization.
Top Skills: AISaaS
16 Hours Ago
Remote
3 Locations
11-12 Hourly
Entry level
11-12 Hourly
Entry level
Machine Learning • Natural Language Processing
Review machine-translated song lyrics for meaning, fluency, and naturalness, providing quality ratings and identifying issues with translations.
16 Hours Ago
Remote
3 Locations
17-17 Hourly
Entry level
17-17 Hourly
Entry level
Machine Learning • Natural Language Processing
Review and assess machine-translated song lyrics for quality and accuracy, providing ratings based on evaluation criteria without rewriting or editing.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account