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3 дня назад

Senior Machine Learning Engineer (AI)

137 100 - 201 600$
Формат работы
hybrid
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
Senior Machine Learning Engineer (AI) (LLM agents and agentic foundations): Building and improving production agents for grocery, retail, Merchants, and Dashers with an accent on evaluation-driven development, post-training, and small language models. Focus on optimizing quality, latency, and cost, launching new agentic experiences, and turning agentic memory and product representations into measurable production impact.

Location: Hybrid role based in San Francisco, Sunnyvale, Seattle, or New York, United States, with some in-office and some remote work.

Salary: $137,100–$201,600, $167,800–$246,800, or $203,500–$299,300 USD annually, depending on work location and job-related factors.

Company

hirify.global operates a grocery and retail delivery business supported by AI and machine learning products.

What you will do

  • Build and continuously improve consumer agents, starting with the Ask grocery assistant.
  • Develop evaluation harnesses and optimization loops to identify failure modes and improve prompts, tools, skills, and context.
  • Run experiments involving open-weight model fine-tuning and deploy small language models where they improve quality, latency, or cost.
  • Take agentic opportunities for Merchants and Dashers from early exploration through production launch.
  • Apply agentic memory, product representations, and post-trained models to production agents.
  • Partner with engineering, product, and business leaders to shape 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, including methods such as supervised fine-tuning, preference optimization, or reinforcement learning.
  • Strong foundations 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.
  • Ability to work in a hybrid arrangement from San Francisco, Sunnyvale, Seattle, or New York.

Culture & Benefits

  • Collaborative, growth-minded environment focused on measurable impact.
  • Medical, dental, and vision benefits, disability and basic life insurance, and a mental health program.
  • 401(k) plan with employer matching.
  • Sixteen weeks of paid parental leave, family-forming assistance, wellness benefits, and commuter benefits matching.
  • Flexible paid time off and vacation for salaried roles, plus 80 hours of paid sick time per year.
  • Eleven paid holidays and additional benefits required by applicable state laws.

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