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Tier-1 brand, metro location, and mid-level ML role increase applicant competition.
Requires specialized ads ranking/retrieval experience though core ML skills remain moderately transferable across industries.
Explicit degree/years plus production ML, LLM and distributed training requirements make shortlisting stringent.
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Lead R&D in retrieval, ranking, matching, and generative models to improve Microsoft Ads systems.
Develop, fine-tune, and productionize large-scale machine learning models including LLMs, SLMs, and LRMs.
Provide technical leadership by setting project direction, coaching teams, and influencing cross-organizational AI strategy.
Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with 4+ years experience OR Master's with 3+ years OR Doctorate with 1+ year.
Ability to pass Microsoft Cloud Background Check and required security screenings.
Experience in statistics, predictive analytics, or research relevant to machine learning or applied AI.
Work Experience Required: Minimum 1-4+ years depending on education level as specified.
Senior-level ML scientist experienced in shipping large-scale production models for recommendation or ranking systems.
Expertise in training, fine-tuning, and optimizing deep learning models using frameworks like PyTorch, TensorFlow, or Hugging Face.
Strategic technology leader capable of influencing platform architecture and coordinating cross-team ML roadmaps in a large-scale production environment.