Responsibilities

• 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

Requirements

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

Salary

USD 167,100 per year

Benefits

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

Responsibilities

• 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

Requirements

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

Salary

USD 167,100 per year

Benefits

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