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5 дней назад

Ai Engineer (Applied Ml)

200 000 - 300 000$
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

Текст:
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TL;DR

Ai Engineer (Applied Ml): Design, build, and iterate on cutting-edge AI models powering user personalization, query understanding, and content discovery. Focus on applying state-of-the-art ML and LLM techniques, rigorous model evaluation, and full model lifecycle management from research to production.

Location: San Francisco, New York City, Palo Alto

Salary: $200000–$300000

Company

hirify.global is an AI-focused product company developing advanced machine learning models for user personalization and content discovery.

What you will do

  • Apply state-of-the-art ML and LLM techniques for personalization, query understanding, and content discovery.
  • Design experiments and metrics for rigorous offline and online model evaluation.
  • Own the entire model lifecycle from research to production including data analysis, modeling, and A/B testing.
  • Collaborate cross-functionally with engineers, PMs, data scientists, and designers to improve AI-driven products.
  • Incorporate emerging ML/AI research and algorithms into product development.

Requirements

  • Location: Must be based in San Francisco, New York City, or Palo Alto
  • 5+ years experience building and shipping robust ML/AI models for large-scale user-facing products.
  • Expertise in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, NLP, recommendation systems, and ranking.
  • Strong software engineering skills in Python and collaborative development.
  • Experience with full ML lifecycle: data analysis, feature engineering, model development, evaluation, and monitoring.
  • BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Nice to have

  • Experience with LLM prompt engineering and Retrieval-augmented generation (RAG) systems.
  • Experience in large-scale user-centric and content-centric personalization challenges.
  • Open-source or published contributions in ML, NLP, IR, or relevant research fields.

Culture & Benefits

  • Comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts for U.S. employees.
  • Tailored benefits program for international full-time employees.
  • Collaborative, high-velocity cross-functional teams.

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