ML Research Engineer Intern/Grad — Build Real-World AI

Partly Group; Christchurch; On-site; NZD 50,000 - 70,000; Full time

Benefits offered by this job

High trust, low process

Competitive base salary + equity

Flexible working hours

Focus Days with no meetings

Parental leave options

Monthly team connection events

Job summary

Partly Group is seeking an Intern ML Research Engineer to join our Applied ML team in Christchurch. In this hands-on role, you will work on building and shipping machine-learning solutions for real-world problems in the vehicle and parts domain, paired with experienced engineers for mentorship.

Ideal candidates are studying computer science or related fields with solid fundamentals in algorithms. We emphasize a culture of learning, teamwork, and flexibility, alongside excellent benefits.

Qualifications

• Solid grounding in algorithms and data structures.
• Experience building things with ML or code.
• Desire to understand and measure real-world outcomes.

Responsibilities

• Contribute to Applied ML solutions on real problem areas.
• Help build evaluation that reflects real-world performance.
• Blend ML and algorithms pragmatically.
• Build with production in mind.
• Work across the team with product and engineering.
• Maintain reproducible experiments and clear notes.

Skills

Strong fundamentals

Some practical experience

Curiosity and an evaluation instinct

Engineering-minded

Clear communicator

Bias for learning

Exposure to search or LLMs

Education

Studying or recently studied computer science, machine learning, mathematics, engineering

Job description

Partly Group is seeking an Intern ML Research Engineer to join our Applied ML team in Christchurch. In this hands-on role, you will work on building and shipping machine-learning solutions for real-world problems in the vehicle and parts domain, paired with experienced engineers for mentorship.

Ideal candidates are studying computer science or related fields with solid fundamentals in algorithms. We emphasize a culture of learning, teamwork, and flexibility, alongside excellent benefits.