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3 дня назад

Senior Machine Learning Engineer (AI)

167 800 - 246 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI): Building and improving production LLM-based agents for grocery and retail delivery with an accent on agent evaluation, post-training, fine-tuning, and small language models. Focus on optimizing quality, latency, and cost, launching agents for consumers, merchants, and Dashers, and turning agentic foundations into measurable product impact.

Location: Hybrid role based in San Francisco, Sunnyvale, Seattle, or New York, with some time in the office and some time remote.

Salary: $167,800–$246,800 USD annual base pay, plus potential equity grants.

Company

hirify.global operates a grocery and retail delivery platform and develops AI/ML products for consumers, merchants, and Dashers.

What you will do

  • Build and improve production agents, starting with the Ask grocery assistant.
  • Develop evaluation harnesses and optimization loops to identify failure modes and measure performance on customer tasks.
  • Experiment with prompts, tools, skills, context, fine-tuned open-weight models, and small language models.
  • Launch new agentic experiences for merchants and Dashers from exploration through production.
  • Apply agentic memory, product representations, and post-training capabilities to production agents.
  • Partner with engineering, product, and business leaders to define an ML strategy for grocery and retail delivery.

Requirements

  • 3+ years of industry machine learning experience.
  • Hands-on experience building and shipping LLM-based agents, including tool use, context management, prompting, guardrails, evaluations, and data-driven improvement.
  • Experience with post-training or fine-tuning open-weight models, such as supervised fine-tuning, preference optimization, or reinforcement learning.
  • Strong foundation in NLP and machine learning, with proficiency in Python and PyTorch or TensorFlow.
  • M.S. or PhD in computer science, statistics, mathematics, or another quantitative field, or equivalent practical experience.
  • Collaborative, growth-minded approach and focus on measurable impact.

Culture & Benefits

  • Hybrid work combining office and remote work.
  • 401(k) plan with employer matching.
  • Medical, dental, vision, disability, and basic life insurance.
  • 16 weeks of paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
  • Wellness, commuter benefits matching, family-forming assistance, and mental health support.

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