Required Qualifications:
- Bachelor's Degree (or currently pursing a degree) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
- OR equivalent experience
- Candidates must be available to start full-time in July 2025.
Preferred Qualifications:
- A background in machine learning and/or statistics.
- Experience in LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms.
- Experience in Python/R/Scala or similar.
- Energized by creating AI solutions that can positively impact the work and lives of millions of people.
- Passion for data-driven learning.
- Excited by the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
- Believe that AI is a team sport.
- Enjoy being an active member of a diverse and inclusive cohort
- Research publications are a plus.
- Proficient written and oral communication skills.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: