Senior Applied ML Engineer

ML – Full time

Remote

Summary

We are looking for a strong engineer who has a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

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Qualifications

  • Minimum 5 years of experience in Generative AI and NLP with experience in areas like language model evaluation.
  • Master’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research experience in machine learning, deep learning, and/or natural language processing.
  • Experience with developing machine learning models at scale from inception to production.
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  • Exposure to architectural patterns of large-scale software applications.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Responsibilities

  • Design methods, tools, and infrastructure to push forward the state of the art in large language models.
  • Deploy, monitor, and manage ML models in production, ensuring high availability and low latency.
  • Manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools.
  • Define research goals informed by practical engineering concerns.
  • Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Preferred Qualifications

  • Master’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • A Ph.D. in AI, computer science, data science, or related technical fields.
  • Direct experience in generative AI and LLM research.
  • Healthcare Domain experience.
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
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