Intern Machine Learning Research Assistant

Experial is hiring a remote Intern Machine Learning Research Assistant. The career level for this job opening is Entry Level and is accepting Germany based applicants remotely. Read complete job description before applying.

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Experial

Job Title

Machine Learning Research Assistant

Posted

Career Level

Intern

Career Level

Entry Level

Locations Accepted

Germany

Salary

HOUR $16 - $21

Job Details

At experial, we are building the future of customer insights. We are looking for student research assistants to support our machine learning team in experimentation and development.

Your Role:
  • Developing, testing, and improving evaluation methods for multi-agent systems
  • Running research experiments, analyzing failure cases, and testing improvements for ML and agentic components
  • Investigating model weaknesses, capabilities, attack modes, and robustness
  • Translating ML components into production-ready product features

Requirements:
  • Python skills
  • Experience training or evaluating deep learning models — PyTorch
  • Familiarity with transformer-based architectures in NLP or CV
  • Comfort with CLI, git, SSH, and command line workflows
  • Ability to communicate results clearly in English

Bonus Points:
  • 2+ years of experience in ML-based projects/ implementations
  • Skills in pandas, plotly, numpy, agentic frameworks
  • Experience with pretraining or fine-tuning or RL for LLM/ SLM/ VLM
  • Experience with shared GPU environments
  • Familiarity with evaluation tracking tools like MLFlow/ WandB

Benefits:
  • Fully remote work
  • Mentorship from experienced AI engineers and product leads
  • Possibility to join the team after finished degree

FAQs

What is the last date for applying to the job?

The deadline to apply for Intern Machine Learning Research Assistant at Experial is 9th of September 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Germany ] applicants. .

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