RLWRLD

Research Engineer

Seoul, South KoreaPosted 9 days ago

Apply on RLWRLD's career page

What you'd do

Release RFM models reproducibly with clean-clone verification and regression-prevention checklists
Build systems to verify train-inference parity and validate release model inference accuracy
Run reproducible benchmark suites and compare model results against state-of-the-art baselines

What they want

Implement and debug Python (PyTorch) training and inference pipelines with strong programming skills
Hands-on experience training,evaluating,and analyzing deep learning models in any setting
Apply Git-based collaboration,testing,CI/CD,and code review practices with reproducibility discipline

Nice to have

VLA or multimodal model experience in simulation or real-robot policy validation contexts
Large-scale distributed training experience across multi-GPU or multi-node compute clusters
Video and time-series data pipeline experience with robotics data formats (hdf5,rlds)

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Business-level Korean required
English friendliness: Medium: English JD, mixed-language workplace
Context: Physical AI robotics startup in Gangnam; professional researcher military alternative (전문연구요원) available; 60 billion KRW seed round.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

View the full posting and apply on RLWRLD's career page

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