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14 часов назад

Machine Learning Researcher (AI)

160 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Researcher (AI): Developing new machine learning algorithms for Large Tabular Models (LTMs) with an accent on representation learning, data compression, and generative modeling for structured enterprise data. Focus on designing rigorous experiments and translating research into production systems in collaboration with Stanford faculty.

Location: Must be based in Mountain View, CA (On-site)

Salary: $160,000 – $250,000 per year plus equity

Company

hirify.global is building Large Tabular Models (LTMs) to enable enterprises to learn natively from structured and relational data at scale.

What you will do

  • Develop new machine learning algorithms specifically for Large Tabular Models.
  • Research methods for selecting, augmenting, and compressing training data while preserving information.
  • Build representation learning techniques for structured and relational datasets.
  • Prototype and evaluate new approaches for generative modeling over enterprise data.
  • Design rigorous experiments and benchmarks to measure research progress.
  • Collaborate with the research team to translate research findings into production systems.

Requirements

  • PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field.
  • Strong research record in machine learning with experience developing new models or algorithms.
  • Hands-on experience with PyTorch or JAX.
  • Strong programming skills in Python.
  • Ability to turn research ideas into working systems.

Nice to have

  • Experience in structured learning, representation learning, generative modeling, or probabilistic modeling.
  • Research background on tabular, relational, or graph data.
  • Publications at top-tier venues like NeurIPS, ICML, ICLR, COLT, or KDD.
  • Experience with open-source or production ML systems.

Culture & Benefits

  • Competitive salary, meaningful equity, and performance bonuses.
  • 401(k) with company match and comprehensive health coverage.
  • Unlimited PTO policy.
  • Daily catered meals in the Mountain View office.
  • Support for research, publication, and conference participation.

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