About the Role

Senior Applied Scientist role focused on generative AI and large language models. Responsibilities include data quality, model building, and collaboration with cross-functional teams to advance NLP and ML innovation.

Key Responsibilities

• Ensure quality of speech/language/other data throughout acquisition and processing
• Clean, analyze and select speech/language/other data to achieve goals
• Build and test models that elevate the customer experience
• Collaborate with colleagues from science, engineering and business backgrounds
• Present proposals and results backed by data with actionable conclusions

Required Skills & Qualifications

Must Have:

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 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

Benefits & Perks

• Medical benefits
• Financial benefits
• Other benefits (equity, sign-on payments)