2 дня назад
Machine Learning Engineer (AI)
137 100 - 201 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer, Drive (Deep Learning/LLMs): Building and operating production machine learning systems for delivery ETA prediction, merchant preparation-time estimation, logistics optimization, and AI-powered delivery quality signals with an accent on deep learning, reinforcement learning, optimization, and multimodal AI. Focus on designing scalable models, transforming images and documents into structured signals, running online experiments, and ensuring reliable production performance.
Location: Must be located in or planning to relocate to San Francisco, Sunnyvale, or Seattle, United States
Salary: $137,100–$201,600, $167,800–$246,800, or $203,500–$299,300 USD annually, depending on level, location, and qualifications. Equity grants may also be included.
Company
operates a logistics network that enables deliveries through merchants’ own websites, mobile applications, and phone orders.
What you will do
- Build production models for delivery and pickup ETA, merchant preparation-time estimation, and order release prediction.
- Develop deep learning systems using large-scale spatiotemporal, marketplace, and behavioral data.
- Apply reinforcement learning and optimization to logistics decisions, assignment strategies, and marketplace efficiency.
- Create AI-native experiences with LLMs and VLMs to process pickup photos, receipts, item verification flows, and drop-off images.
- Design online experiments, production monitoring, and continuous model iteration.
- Collaborate with software engineering, product, data science, and platform teams to deploy ML capabilities at scale.
Requirements
- 5+ years of industry experience building and shipping production machine learning systems with measurable business impact.
- Experience with production deep learning frameworks such as PyTorch and distributed data technologies such as Spark and Airflow.
- End-to-end experience building, deploying, monitoring, and maintaining production ML systems.
- Strong software engineering skills in Python and experience with modern ML infrastructure and tooling.
- Deep expertise in at least one area: deep learning, reinforcement learning, optimization or operations research, LLMs, or VLMs.
- Must be located in or planning to relocate to San Francisco, Sunnyvale, or Seattle.
Nice to have
- Hands-on experience with LLMs or VLMs.
- Experience in logistics, marketplaces, or delivery platforms.
- Proficiency with AI-assisted development tools such as Claude Code, Codex, or Cursor.
Culture & Benefits
- Opportunity to solve large-scale logistics problems affecting millions of deliveries.
- Comprehensive medical, dental, and vision benefits.
- 401(k) plan with employer matching, paid parental leave, disability insurance, and basic life insurance.
- Flexible paid time off, paid sick leave, paid holidays, wellness benefits, commuter benefits, and mental health support.
- Family-forming assistance and equity grant opportunities.
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