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Principal Applied Scientist (AI)
304 200$
Описание вакансии
Текст:
TL;DR
Principal Applied Scientist (AI): Lead development of large-scale click-through-rate and user response models for Microsoft Advertising with an accent on advanced ML architectures including transformers and LLM-assisted models. Focus on designing scalable modeling pipelines, driving ML strategy, and mentoring applied scientists and engineers.
Location: Mountain View, United States, onsite with expectation to work from office at least four days per week
Salary: USD 188,000–304,200 per year (San Francisco Bay area and New York City metropolitan area range)
Company
is a leading technology corporation focused on AI and software innovation, empowering organizations worldwide.
What you will do
- Lead end-to-end development of large-scale CTR and user response models for Search and Display ads.
- Design, prototype, and ship cutting-edge ML architectures including deep models, multi-task, transformer-based, and LLM-assisted models.
- Modernize modeling pipelines and improve reliability, monitoring, and performance of distributed training and serving systems.
- Collaborate with product managers and monetization teams to align modeling goals with business impact.
- Mentor applied scientists and ML engineers, fostering a culture of scientific rigor and collaboration.
- Leverage LLM-based tooling to enhance team productivity and model development velocity.
Requirements
- Location: Must be based in or near Mountain View, United States with onsite work expected at least four days per week
- Bachelor’s degree with 6+ years related experience or Master’s/Doctorate with fewer years as specified.
- Extensive experience in statistics, predictive analytics, research, and ML model development and deployment.
- Proven leadership in ML strategy, model innovation, and mentoring technical teams.
- Strong communication skills including presenting at conferences and publishing research.
Culture & Benefits
- Inclusive culture emphasizing respect, integrity, and accountability.
- Growth mindset and collaboration to empower employees.
- Competitive salary and benefits package.
- Opportunities for professional development and research impact.
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