3 months ago
Christchurch, New ZealandIntern
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 builds AI infrastructure for the automotive repair and parts industry, including a foundational model (Interpreter) that understands vehicle damage and the parts needed to fix it. Its platform and apps, including a product information management system, are used by suppliers, distributors, marketplaces, and repairers via APIs and software tools. Privately held and headquartered in Austin, Texas, it serves thousands of businesses across the global collision and repair supply chain, with teams in the US, UK, and New Zealand.