Principal Applied Scientist (AI)
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Описание вакансии
TL;DR
Principal Applied Scientist (AI): Design and implement large-scale machine learning models to predict user responses to advertisements with an accent on transformer-based models and LLMs. Focus on deploying models to production, running A/B tests, analyzing impacts on business KPIs, and establishing scalable pipelines.
Location: Redmond, United States. Employees within a 50-mile commute of the office expected to work from the office at least four days per week.
Salary: USD $139,900 – $274,800 per year (USD $188,000 – $304,200 in San Francisco Bay area and New York City).
Company
Signals Team at Ads developing advanced ML models to enhance user engagement and advertiser returns.
What you will do
- Build large-scale ML models for text and numerical data and deploy them to production.
- Run A/B testing and analyze model impacts on business KPIs and failure modes.
- Conduct data exploration and analysis for new features and model improvements.
- Establish scalable pipelines for data processing, analytics, model training, and validation.
- Set up automated monitoring processes for system health using agentic workflows.
- Track state-of-the-art approaches and mentor junior scientists.
Requirements
- Bachelor’s in Statistics, Econometrics, CS, EE/CE or related AND 6+ years experience OR Master’s AND 4+ years OR Doctorate AND 3+ years (or equivalent).
- Ability to meet Cloud Background Check requirements.
- Experience in statistics, predictive analytics, or research.
Nice to have
- Master’s/Doctorate with 9+/6+ years experience.
- 5+ years customer-facing or consulting experience.
- Deep expertise in designing/training large-scale ML/LLM models and production deployment.
- Experience with LLM inference pipelines and fine-tuning (SFT, LoRA, RLHF).
- Strong skills in ML/LLM evaluation frameworks, metrics, and monitoring for hallucination, bias, safety.
Culture & Benefits
- Growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.
- Standard benefits and compensation (details at careers..com).
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