Run and modify machine learning experiments, contributing to the development and refinement of models.
Analyze experimental results to draw meaningful insights and inform future research directions.
Write detailed experiment reports to document findings and support team knowledge sharing.
Read papers on the latest machine learning research to stay informed about cutting-edge developments.
Test novel algorithms by modifying open-source code or developing new implementations with guidance.
Work closely with team members to support project goals and deliverables, contributing to a collaborative and innovative environment.
Requirements
Currently pursuing or having a degree in a STEM field, such as Physics, Mathematics, Biology, Computer Science, Aerospace, or Electrical Engineering.
Proficient in Python programming, with the ability to modify and develop code for machine learning applications.
Passionate about the latest developments in the AI field, with an interest in applying these advancements to real-world problems.
Detail-oriented with a focus on accuracy and quality in all aspects of work.
Proficient in English; familiarity with Japanese is a plus.
Tech Stack
Python
Benefits
Flexible Work Hours: Recursive operates on a flex system with the core hours of 10:00
16:00. The flexible work hours fosters a supportive environment that accommodates diverse needs while ensuring effective team collaboration during core hours.
Hybrid Work: Experience the best of both worlds with our hybrid work model, offering up to three days of remote work and two days in our Shibuya office. (*Full-remote internships are possible for Engineering Internships.)
Compensation: Internships at Recursive are paid on a hourly basis. The compensation is set based on experience and education level.
Social Welfare & Commuting Allowance: Interns may qualify for certain social welfare benefits, contingent upon their work hours. Additionally, all interns receive a commuting allowance for the days they travel to our office.
Visa Support: Due to limited resources, visa sponsorship may not be available. Priority will be given to candidates who already hold a current and valid work visa. Foreign students interested in internships should consult with our hiring team for details.