Matium Lead AI & Data Infrastructure Engineer Remote · Full time Company website

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Founded in 2021 by a former plastics trader and his cousin, Matium is building the digital ecosystem for manufacturers, producers, recyclers, distributors, and traders of raw materials to transact directly with one another. What started in plastics has grown into a rapidly expanding network of over 900 companies — including industry leaders transacting hundreds of millions of pounds of material through the platform. In 2026, Matium is expanding beyond plastics into adjacent markets including paper, metals, and industrial packaging. Matium combines a private CRM/ERP, a verified trading network, a peer-to-peer marketplace with AI-powered matchmaking and auction capabilities, automated freight booking, and embedded transaction financing. Companies can join and trade for free, with premium offerings designed to either fully automate deal execution (“Verified”) or empower internal teams with market intelligence and workflow optimization (“Intelligence”). At its core, Matium exists to modernize how raw materials move — reducing financial waste, operational friction, and unnecessary complexity across global supply chains. We are building long-term market infrastructure, not just software.

Detailed Job Description

AI Marketplace Intelligence

• Design and deploy machine learning models that power Matium’s supply–demand matching engine
• Develop algorithms that identify optimal buyer–seller pairings across fragmented industrial markets
• Build AI systems that improve auction design, bid aggregation, and price discovery
• Create predictive models for demand forecasting, pricing signals, and market timing
• Continuously improve model performance as transaction data scales

Data Infrastructure & Platform Architecture

• Architect scalable data pipelines that ingest marketplace, logistics, pricing, and transaction data
• Build a unified data layer supporting analytics, AI models, and internal decision systems
• Implement real-time data processing to support live marketplace intelligence
• Ensure data reliability, governance, and accessibility across the organization
• Partner with engineering to embed intelligence directly into product workflows

AI Product Integration

• Work closely with the Head of Marketplace and engineering team to integrate AI capabilities into user-facing features
• Improve recommendation engines for suppliers and buyers on the platform
• Develop automated targeting systems for supply distribution and demand discovery
• Build intelligent alerts and opportunity detection systems

Internal Analytics & Decision Intelligence

• Enable leadership with real-time dashboards and predictive analytics
• Build internal tools that surface emerging supply shortages, price movements, and liquidity gaps
• Create experimentation frameworks for marketplace optimization
• Support company-wide data-driven decision making

Scalable Intelligence Architecture

• Design systems that scale with Matium’s expansion into multiple raw material markets
• Ensure models improve with increased transaction volume and network density
• Establish data science and machine learning best practices across the organization

What Success Looks Like

• Matium’s marketplace becomes increasingly autonomous and intelligent
• Buyer–seller matching improves transaction velocity and pricing outcomes
• Predictive models surface opportunities before competitors see them
• Leadership has real-time visibility into market activity and platform performance
• Data infrastructure scales seamlessly as new vertical markets launch

Desired Skills & Requirements

• 6+ years of experience in data engineering, machine learning, or applied AI
• Strong proficiency in Python, SQL, and modern data stack technologies
• Experience building and deploying machine learning models in production environments
• Experience with recommendation systems, marketplace algorithms, or predictive modeling preferred
• Familiarity with distributed data systems and cloud infrastructure
• Experience designing scalable data pipelines and analytics architectures
• Strong problem-solving mindset and systems thinking
• Comfort operating in fast-moving startup environments

Compensation

• Base Salary: $140,000 – $175,000 (commensurate with experience)
• Equity: Meaningful early-stage equity participation
• Full benefits package

Our Core Values

Work Smart

We believe in thinking before acting. Strategy comes first. We ask better questions, challenge assumptions, and design systems that scale. Speed matters — but intelligent speed matters more.

Be Open

We are open to learning, open to being wrong, and open with each other. We value honesty over comfort and transparency over politics. Growth requires humility — and humility creates trust.

Move Forward

We reflect, we learn, and then we keep going. We do not dwell on mistakes or cling to ego. We correct, adapt, and progress. Momentum is earned through consistent forward movement.