OpenTable is hiring a
Applied ML Scientist Senior Applied ML Scientist in Canada

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Applied ML Scientist Senior Applied ML Scientist closed
🏢 OpenTable
💵 $96k-$137k
📍Canada
📅 Posted on Jun 10, 2024

Summary

The job is for a Natural Language Processing Engineer at OpenTable's Machine Learning team. The role involves conducting research and development of NLP models, collaborating with engineers to bring these models into production, and staying current with NLP research.

Requirements

  • Experience applying transformer model architectures to NLP challenges is crucial
  • Significant experience experimenting with encoder and especially decoder architectures
  • Experience applying parameter-efficient fine-tuning for LLM as well as familiarity with different training techniques SFT, DPO, PPO
  • Experience with optimizing LLMs for inference
  • Strong understanding of data structures, algorithms, and OO design
  • Strong knowledge of Python and hands-on experience with NLP-related /scientific computing packages (HuggingFace ecosystem (Transformers, TRL, PEFT), DeepSpeed, PyTorch, NumPy, SciPy)

Responsibilities

  • Conduct research and development of Natural Language Processing (NLP) models
  • Collaborate with engineers to bring NLP models into production

Preferred Qualifications

  • Contributions to an open-source Machine Learning (ML) package, showing your skills in researching, implementing, and evaluating academic papers
  • Publications in the field of NLP
  • Hands-on experience in deploying Large Language Models (LLMs) to real-world products, particularly in environments sensitive to latency where the model processes many queries simultaneously

Benefits

  • Paid Time Off - 20 days a year
  • Birthday/celebration PTO - 1 day
  • Flexible sick time off
  • Paid volunteer time
  • Annual company week off
  • Parental Leave Benefits
  • Dental & Vision Insurance
  • Life & Disability Insurance
  • Group RRSP and DPSP
  • Major Medical Insurance (dependent care options)
This job is filled or no longer available

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