Applied Scientist II (Edge Technology)

TL;DR

Applied Scientist II (Edge Technology): Developing state-of-the-art ML, NLP, Deep Learning, and Computer Vision algorithms to solve real-world problems at scale with an accent on industrial data analytics. Focus on distilling complex requirements into novel prototypes and delivering high-performance production-ready solutions.

Location: Sunnyvale, CA, USA

Salary: $171,600 - $222,200 annually

Company

Global leader in e-commerce and cloud computing providing cutting-edge AI services and infrastructure.

What you will do

• Develop state-of-the-art ML, NLP, Deep Learning, and Computer Vision algorithms using large datasets.
• Implement statistical modeling and ML advancements for customer-facing solutions in complex industrial settings.
• Collaborate with a cross-disciplinary team of leading researchers to solve previously unsolved problems at scale.
• Distill real-world requirements into novel prototypes and deliver them into production products.
• Apply expertise in algorithms, data structures, and numerical optimization to improve system performance.

Requirements

• Location: Must be based in the USA
• 3+ years of experience building models for business applications.
• PhD, or a Master's degree with 4+ years of experience in CS, CE, ML, or a related field.
• Proven track record of patents or publications in top-tier peer-reviewed conferences or journals.
• Proficiency in programming with Java, C++, Python, or similar languages.
• Strong knowledge of algorithms, data structures, parsing, and parallel/distributed computing.

Nice to have

• Experience using Unix/Linux and professional software development practices.
• PhD in computer science, machine learning, or engineering.
• Research experience in sensor fusion, NLP, or computer vision.
• Papers presented at ICASSP, ICML, NIPS, KDD, CVPR, or similar top-tier events.

Culture & Benefits

• Comprehensive health insurance including medical, dental, vision, and prescription coverage.
• 401(k) matching, paid time off, and parental leave.
• Sign-on payments and Restricted Stock Units (RSUs).
• Mental health support and Flexible Spending Accounts (FSA).
• Inclusive culture that empowers employees to deliver best results for customers.