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python tensorflow pytorch rlhf jax📋 Description
- Innovate & Build: design/deploy state-of-the-art translation and voice models.
- Scale at Speed: train large models on GPU clusters for low latency.
- End-to-End Ownership: from theory to production deployment.
- Collaborate Globally: partner with ML Platform, HPC, DevOps.
- Advance the Field: lead research with reproducible results.
- Operational Excellence: on-call rotations for reliability.
🎯 Requirements
- Technical Foundation: PhD, Master’s or equivalent in CS/Math/Physics.
- Engineering Proficiency: Python and PyTorch/JAX/TensorFlow.
- Research Track Record: self-directed research with publications.
- Domain Expertise: LLM post-training/ RLHF; NMT or voice.
- Production Mindset: shipping large models to production.
- Communication: strong English; other languages a plus.
- Execution & Autonomy: ownership from prototyping to stable code.
🎁 Benefits
- Diverse & internationally distributed team.
- Open communication & regular feedback.
- Hybrid work & flexible hours.
- Virtual Shares.
- Regular in-person team events.
- Monthly full-day hacking sessions.
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