Applied Scientist (AI/ML)

TL;DR

Applied Scientist (AI/ML): Building and optimizing high-load ad serving systems for Amazon's Sponsored Products and Brands with an accent on generative AI technologies and machine learning. Focus on applying innovative ML techniques in predictive modeling, NLP, deep learning, reinforcement learning, and vector search to enhance customer shopping experience and advertiser ROI.

Location: USA, WA, Seattle

Salary: $167,100 – $226,100 USD annually

Company

hirify.global is re-imagining the advertising landscape through industry-leading generative AI technologies for Amazon Ads.

What you will do

• Drive end-to-end Machine Learning projects with a high degree of ambiguity, scale, and complexity.
• Perform hands-on analysis and modeling of enormous datasets to develop insights for traffic monetization and merchandise sales.
• Build, experiment with, optimize, and deploy machine learning models into production.
• Run A/B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis and ML model development.
• Research new and innovative machine learning approaches.

Requirements

• 3+ years of experience building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python, or related languages.
• Experience with neural deep learning methods and machine learning.

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.
• Experience using managed ML/AI solutions.

Culture & Benefits

• Work in a highly motivated, collaborative, and entrepreneurial team.
• Define and deliver advertising products that drive discovery and sales, generating billions in revenue.
• Impact customer-facing shopping experiences and supplier retail business growth.
• Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
• Opportunity to mentor junior scientists.