Principal Applied Scientist

Qualifications

Required Qualifications: -

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience

. - 8+ years of experience in ML with a proven record of shipping large-scale models to production. - Hands-on experience with SLM/LLM /LRM training, fine-tuning, and post-training. -

Experience designing and scaling recommendation systems with massive query/item spaces and multi-stage ranking pipelines. - Proficiency with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) and distributed training on large datasets.