3 дня назад
Senior Machine Learning Engineer (AI)
137 100 - 201 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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