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python machine learning distributed training📋 Description
- Design, train and improve models to serve public interest.
- Develop techniques to train and serve models safer, better, faster.
- Train large-scale models on massive datasets.
- Learn from senior ML staff.
- Collaborate with product teams to develop solutions.
🎯 Requirements
- Proficiency in Python and ML frameworks.
- Experience with large-scale distributed training.
- Strong communication and problem-solving skills.
- Bonus: Canadian citizenship.
- Bonus: papers at top-tier venues (NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
🎁 Benefits
- Open and inclusive culture and work environment.
- Work with a team on the cutting edge of AI research.
- Weekly lunch stipend, in-office lunches and snacks.
- Full health and dental benefits, including mental health budget.
- 6 weeks vacation (30 working days).
- Remote-flexible with offices in major cities plus coworking stipend.
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