Product Engineer
Develop ML models for industrial recyclers to assess material quality
As a Product Engineer at Safi, you'll create machine learning models that empower forklift drivers and plant managers in industrial recycling to evaluate material quality directly from their phones. Your work will not only enhance user experience but also explore new market opportunities. Join a small, talented team dedicated to customer-centric product development.
Why This Role?
Be part of a small, eager team making a real impact in industrial recycling
Key Responsibilities
- Collaborate with customers to understand their needs and refine product features
- Design and implement machine learning models for mobile applications
- Analyze user feedback to improve product functionality and user experience
- Explore potential market expansions beyond current offerings
Requirements
- Experience in machine learning and mobile application development
- Strong problem-solving skills and ability to work with customers
- Familiarity with industrial recycling processes and technologies
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
Safi | Product Engineer | London HQ or Remote (within ±2 hrs of London) | Full-time | £110,000–£160,000 + equity | https://www.safi.co We're hiring for a Senior/Staff level Product Engineer to help us get as close to our customers as possible and develop product with them. You will be helping Forklift Drivers and Plant Managers at industrial recyclers (smelters, MRFs, plastics) use ML Models via their phones to assess the quality of material in their yard, and exploring how we can enter in to other markets too. If you're excited to join a small, eager, talented team please get in touch! Apply: https://jobs.ashbyhq.com/safi/06794918-bef7-4a6b-a2d3-c58c17...
Market data & reports
Salary & skill-demand research built from our own listings data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.