Responsibilities
- Contribute to Applied ML solutions on real problem areas.
- Assist in creating evaluation metrics and gold datasets.
- Engage in hands-on modeling, ranking, classification, and retrieval.
- Ensure production readiness by considering latency, scale, and reliability.
- Collaborate with product and engineering teams for real outcomes.
- Maintain reproducible experiments and clear documentation.
Requirements
- Studying or recently studied computer science, machine learning, mathematics, engineering, or a related field.
- Practical experience with ML or coding through coursework, projects, or internships.
- Strong curiosity and evaluation instinct for measuring performance.
- Ability to write clean code and adapt to new tools.
- Clear communication skills and ability to collaborate effectively.
- Desire to learn and tackle real-world problems.
Benefits
- High trust, low process environment with minimal bureaucracy.
- Competitive base salary and equity options.
- Flexible working hours tailored to individual productivity.
- Focus Days for uninterrupted deep work.
- Generous leave policy with no questions asked.
- Well-equipped offices in Christchurch CBD.
- Opportunities for continuous learning from industry leaders.
- Quarterly team events and annual global offsite.
- Monthly team lunches and celebrations.
- Parental leave with flexible return options.
- Payroll giving to support high-impact charities.
Categories
About Partly
Partly's mission is to connect the world's parts. We're a team of automotive veterans and world-class engineers, with backgrounds at Rocket Lab, Microsoft, F1, Apple, and Intel. As a result of our team's collective and unusually diverse experience, we have the perspective to understand what needs fixing and the expertise to actually fix it. We're building the first foundational AI model for the auto parts industry. Our technology delivers efficiencies across the entire collision parts supply chain - from procurement to order management. Partly is independent from any automotive body and backed by industry-leading investors including Octopus Ventures, Blackbird, Squarepeg, I2BF, Ten13, Shasta Ventures, Icehouse Ventures, Peter Beck (Rocket Lab), Randy Reddig (Square), Dylan Field (Figma), and Akshay Kothari (Notion). Partly is UK-based, expanding into the US, with our core engineering team based in Christchurch.