Applied Scientist II - Personalization, Customer Intent Science

What you'll do

• Build and implement scalable AI and machine-learning solutions, including predictive models and recommendation features.
• Analyze large-scale historical business data and establish automated processes for data analysis, model development, validation, and implementation.
• Research machine-learning and statistical approaches, collaborating with software engineering teams to bring models into production.

What they ask for

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Nice to have

• Experience with generative deep learning models applicable to creating synthetic humans, such as CNNs, GANs, VAEs and NF.
• Experience applying theoretical models in an applied environment; patents and/or publications in top-tier AI/ML venues are also preferred.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, LLMs/SLMs, Machine Learning, Natural Language Processing, Computer Vision, CNNs, GANs, VAEs and NF

AI focus

Applies AI and machine learning, including LLMs/SLMs, to build recommendation services and predictive models; preferred work includes generative deep learning.