Job Description

As a member of the CMT team, you'll play a key role in the evolution of our Competitive Monitoring systems to solve significantly complex and interesting technical challenges in machine learning, large language models in production, and recommender systems to name a few. The team's work directly impacts customer experience at a worldwide scale.

Key job responsibilities

Thought leader on the team and help set team directions

Research multiple problem domains, suggest various approaches to try and be as hands-on as needed while providing more junior scientists with critical mentorship

Collaborate with engineers to come up with the right LLD and HLD to solve key business problems

Strong emphasis on communication via writing, internal and external talks, and being able to align with multiple stakeholders

A day in the life

As an Applied scientist II, a typical day will involve aligning with key product, engineering and business stakeholders ; advising junior scientists on the work they are doing ; reading current research papers and staying up-to-date on AI research ; diving deep as needed to improve CMT models and addressing stakeholders from the science perspective ; writing python code

Basic Qualifications

• 4+ years of building models for business application experience
• PhD, or Master's degree
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
• Experience in designing experiments and statistical analysis of results

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