ML Research Engineer

2 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We need a hands-on ML engineer to implement cutting-edge research in uncertainty quantification and build our open-source confidence calibration toolkit. You'll turn papers into production code that thousands of developers will use.

Required Skills

  • Strong PyTorch experience (2+ years hands-on)
  • Paper implementation experience - you've implemented at least 3 research papers
  • Python expertise - clean, efficient, documented code
  • GPU optimization - experience with CUDA, mixed precision training
  • Git proficiency - comfortable with collaborative development

Primary Responsibilities

  • Implement research papers in PyTorch (focus on confidence calibration methods)
  • Develop and maintain our confidence-kit open-source library
  • Run large-scale experiments on model calibration
  • Optimize inference performance for production use
  • Debug and fix issues in neural network implementations
What We Offer
  • Paper co-authorship - build your research profile
  • GitHub fame - your code used by thousands globally
  • Flexible hours - no micromanagement
  • Learning budget - ₹1,500/month or R$100/month
  • Milestone bonuses - up to 20% monthly bonus
  • Conference attendance - virtual passes to NeurIPS, ICML, ICLR
  • Equipment (additional) support after 3 months

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