Lead AI/ML Engineer (Recommendation Systems)

TL;DR

Lead AI/ML Engineer (Recommendation Systems): Building and optimizing AI solutions for Prime Video Personalization and Discovery, with an accent on designing, implementing, and launching AI solutions end-to-end. Focus on matching customers with the right content at the right time through advanced recommendation systems and data analysis.

Location: Candidates must be eligible to work in the US; compensation varies by US geographic market. Specific job duties mentioned for Los Angeles County applicants.

Salary: $150,400–$260,000/year

Company

hirify.global is part of Prime Video, a first-stop entertainment destination offering customers a vast collection of premium programming.

What you will do

• Develop AI solutions for Prime Video Personalization.
• Work closely with engineers and product managers to design, implement, and launch AI solutions end-to-end.
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
• Effectively communicate technical and non-technical ideas with teammates and stakeholders.
• Stay up-to-date with advancements and the latest modeling techniques in the field.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience.
• 5+ years of experience building machine learning models for business application.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• English: B2 required.

Nice to have

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
• Experience with large scale distributed systems such as Hadoop, Spark.

Culture & Benefits

• Amazon is a total compensation company, providing equity, sign-on payments, and a full range of medical, financial, and other benefits.
• Inclusive culture empowers Amazonians to deliver the best results for customers.
• Workplace accommodations or adjustments are available for disabilities during the application and hiring process.