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.
PythonArtificial IntelligenceMachine Learning
About Recursive
Recursive is pioneering a fairer, more sustainable future by transforming businesses with advanced AI. You'll build custom AI agents and models, integrating generative AI and physics simulations into core business processes. Working with large Japanese enterprises, Recursive solves complex sustainability challenges. Their innovative solutions are improving efficiency, accelerating innovation, mitigating risk, and enhancing work and education across diverse industries. Recursive helps clients become AI-first, driving impactful change.
How We Work
Recursive fosters an environment for those who thrive on challenge and impact. Their hybrid work model allows up to three days remote, with full-remote options for some engineering roles. You will find a diverse team from over 20 nationalities, united by a commitment to collaboration and a challenger mentality. Everyone takes initiative to solve hard problems and goes beyond current abilities. This culture values trust, cooperation, and tangible impact on the world.
Engineering at Recursive
Recursive engineers pioneer solutions using generative AI and physics simulations. You'll work with advanced tools like Physics-Inspired Neural Networks to simulate environmental systems, a first for a Japanese company. They also develop enterprise solutions like FindFlow, enhancing large language models for private data access. Your daily work involves running and modifying machine learning experiments, analyzing results, and contributing to cutting-edge AI research. You will test novel algorithms, modify open-source code, and develop new implementations, all while leveraging platforms like Google Cloud.
Why Join Us
Pioneer AI solutions for global sustainability challenges with tangible impact.
Collaborate with a diverse, international team pushing the boundaries of AI research.
Work with cutting-edge technologies like Generative AI and Physics-Inspired Neural Networks.
Shape the future of AI in enterprise, transforming clients into AI-first businesses.
Benefits & Perks (Interns)
Paid internships with compensation based on experience and education level.
Flexible work hours with a core schedule of 10:00 - 16:00, typically 15-25 hours/week.
Hybrid work model: up to three days remote, two days in Shibuya office (full-remote possible for engineering).
Social welfare benefits (contingent on work hours) and commuting allowance for office days.
20 days paid annual leave, 5 days paid sick leave, and special leave.