Chief Machine Learning Innovation Director, Europe
hace 1 semana
At Amazon, we're committed to being the world's most customer-centric company. Our International Technology group, InTech, owns the enhancement and delivery of cutting-edge engineering to diverse customers worldwide. We achieve this through partnerships with other Amazon technical teams and innovative new projects.
You'll join the Tools and Machine Learning (Tamale) team, part of InTech. Tamale focuses on solving complex catalog quality problems using machine learning and data analysis solutions. You'll be exposed to advanced big data and machine learning technologies, as well as Amazon's catalog technology stack. Your work will contribute to improving our customers' experience by tackling and preventing defects in items within our catalog.
We seek a talented and inventive Chief Machine Learning Innovation Director (CMILD) with a strong machine learning background and people development skills. As a CMILD, you'll lead a team of scientists, guiding projects that impact Amazon's global catalog. You'll coach your team's work and professional growth, partnering closely with a strong engineering team to productionalize your solutions.
Our team values hard work and dedication to solving complex problems for Amazon customers.
Key Responsibilities:- Collaborate with business partners to identify opportunities for innovation
- Lead a team to apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality
- Partner with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables
- Influence the scientific roadmap of the team, setting standards for scientific excellence
You'll work with state-of-the-art models, including image-to-text, LLMs, and GenAI. Your work will positively impact millions of daily customers using Amazon in Europe and other regions. This role offers opportunities for growth in one of the world's most innovative companies.
Requirements:- PhD in engineering, computer science, or equivalent quantitative field
- 4+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval, and Analytics
Estimated salary: €120,000 - €180,000 per year, depending on location and experience.
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