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nlp pytorch machine learning rlhf finetuning📋 Description
- Build experiments and debug models
- Scale training pipelines and run large-scale experiments
- Turn research ideas into working systems
- Collaborate with scientists and engineers
- Learn quickly in a fast-moving environment
- Focus on practical impact and tooling
🎯 Requirements
- Strong ML/NLP engineering background (Master’s or equivalent)
- Proficient in writing clean, reliable code
- Experience with PyTorch and other deep learning frameworks
- Experience with distributed training and model optimization (RLHF, finetuning)
- Ability to run experiments, ablations, and analyze results
- Collaborates closely with researchers and engineers
🎁 Benefits
- Open and inclusive culture and work environment
- Work closely with a team on cutting-edge AI research
- Weekly lunch stipend, in-office lunches and snacks
- Full health and dental benefits
- 100% parental leave top-up for up to 6 months
- Remote-flexible with offices in multiple cities
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