5 дней назад
Senior Machine Learning Engineer (AI)
137 100 - 201 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI): Building production machine learning systems for delivery ETA, merchant preparation-time estimation, order release, logistics decisions, and AI-powered delivery quality signals with an accent on deep learning, reinforcement learning, optimization, and multimodal AI. Focus on developing spatiotemporal models, applying LLMs and VLMs to delivery workflows, running online experiments, and deploying reliable systems at scale.
Location: San Francisco, Sunnyvale, or Seattle; candidates must be located in or planning to relocate to one of these locations.
Base salary: $137,100–$201,600, $167,800–$246,800, or $203,500–$299,300 per year, depending on level and work location.
Company
operates a logistics network that powers deliveries placed through merchants’ websites, mobile apps, and phone orders.
What you will do
- Build machine learning models for delivery and pickup ETA, merchant preparation-time estimation, and order release prediction.
- Develop deep learning models using large-scale spatiotemporal, marketplace, and behavioral signals.
- Apply reinforcement learning and optimization to logistics decisions, assignment strategies, and marketplace efficiency.
- Build AI-native experiences with large language models and vision-language models using photos, receipts, and verification flows to generate delivery quality signals.
- Design online experiments, production monitoring, and continuous model iteration.
- Partner with software engineering, product, data science, and platform teams to deploy machine learning capabilities at scale.
Requirements
- 5+ years of industry experience building and shipping production machine learning systems with measurable business impact.
- Bachelor’s, Master’s, or PhD degree.
- Experience with production machine learning, deep learning frameworks such as PyTorch, and distributed data processing tools such as Spark and Airflow.
- Strong Python and software engineering skills, with experience building, deploying, monitoring, and maintaining ML systems end to end.
- Deep expertise in at least one area: deep learning, reinforcement learning, optimization and operations research, LLMs, or VLMs.
- Proficiency with AI-assisted development tools such as Claude Code, Codex, or Cursor.
Nice to have
- Hands-on experience with LLMs or VLMs.
- Experience in logistics, marketplaces, or delivery platforms.
Culture & Benefits
- Work on machine learning problems affecting millions of deliveries.
- 401(k) plan with employer matching.
- Medical, dental, vision, disability, and basic life insurance.
- Paid parental leave, paid time off, paid sick leave, and 11 paid holidays.
- Wellness, commuter, family-forming, and mental health benefits.
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