Sixone Labs’s mission is to enable a world where plastics products can be circularly recycled back into existing supply chains instead of being sent to landfill. Sixone Labs is developing technology around advanced recycling of plastics and plastic-based products. The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an efficient recycling process. By using low value post-consumer…
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Building a technology where end of life plastics can be reused in new products instead of sent to landfill or oceans
Full company description
Sixone Labs’s mission is to enable a world where plastics products can be circularly recycled back into existing supply chains instead of being sent to landfill. Sixone Labs is developing technology around advanced recycling of plastics and plastic-based products. The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an efficient recycling process. By using low value post-consumer feedstock, the company aims to fundamentally changes the economics behind current recycled materials.
LinkedIn followers
5,587
People associated on LinkedIn
23
Reported office locations
Vancouver, British Columbia, CA
Business categories
Textiles
Advanced Materials
Recycling
Other recorded names
Sixone
Sixone Labs
Specialties
Recycling
Plastics
and Sustainability
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Climate Technology Product Manufacturing
Size
11-50 employees
Headquarters
Vancouver, British Columbia
Organization type
Privately Held
Specialties
RecyclingPlasticsand Sustainability
Sixone has 5 open jobs in Canada as of November 6, 2026. Top locations: Burnaby and Vancouver.
Sixone: The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an…
1+ YOESixone needs candidates with one to three years of operations, facilities or admin experience, and strong skills with Google Workspace, Windows, Slack and Airtable. Strong communication, time management and attention to detail are required, and fast-paced experience is highly preferred.
Sixone: The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an…
10+ YOE3+ MgmtCandidates need a chemical, process or related engineering degree and P.Eng. licensure in British Columbia or eligibility for EGBC registration. Sixone also requires 10+ years of engineering experience in plastics, recycling, chemical or related industries, 3+ years of people management, and pilot plant and commissioning experience.
Sixone: The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an…
4+ YOESixone needs candidates with 4+ years in data science or applied ML, including computer vision or sensor data work. They must show technical leadership, strong Python and SQL, and PyTorch experience, and hold a Master's or Ph.D. or equivalent practical experience.
Sixone: The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an…
6+ YOECandidates need 6+ years of process, chemical engineering or materials science experience, with hands-on scale-up or engineering construction work. Strong problem-solving, attention to detail and communication skills are required, and experience in chemical recycling or polymer processing is a plus.
Problem solving, Communication skills, Troubleshooting, Design process, Documentation, Process improvement
Sixone: The company’s technology applies sensor-to-process digitalization and machine learning algorithms to target depolymerization techniques to enable an…
Sixone needs candidates with strong Python and PyTorch skills, experience with high-dimensional data such as imaging, spectroscopy or remote sensing, and experience building models and data pipelines on AWS. Candidates must also be legally entitled to work in Canada.