Use machine learning and AI techniques to create scalable seller-facing solutions
Analyze and extract information from large volumes of historical data to automate and optimize processes
Design, develop and evaluate innovative models
Work with software engineering teams to drive real-time model implementations and new features
Communicate with technical and business leadership to influence scientific directions

Preferred Qualifications:

4+ years of applied research experience
3+ years building machine learning models for business applications
PhD, or Master's degree with 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods
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
Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft prompts and evaluate AI outputs
Experience identifying opportunities to integrate AI solutions into products and services to drive business value

USD 167,100 per year

Comprehensive health insurance, RSUs, 401(k) matching, paid time off, parental leave, and other benefits

About the role

Use machine learning and AI techniques to create scalable seller-facing solutions
Analyze and extract information from large volumes of historical data to automate and optimize processes
Design, develop and evaluate innovative models
Work with software engineering teams to drive real-time model implementations and new features
Communicate with technical and business leadership to influence scientific directions

Preferred Qualifications:

4+ years of applied research experience
3+ years building machine learning models for business applications
PhD, or Master's degree with 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods
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
Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft prompts and evaluate AI outputs
Experience identifying opportunities to integrate AI solutions into products and services to drive business value