Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (AI/ML): Developing next-generation search capabilities and optimizing retrieval, ranking, and relevance systems with an accent on LLM post-training, alignment, and RAG pipelines. Focus on improving reasoning quality, safety, and factual grounding for large-scale AI search experiences.
Location: Mountain View, United States. Employees within a 50-mile commute are expected to work from the office at least four days per week.
Salary: $158,400 – $258,000 per year (Bay Area range)
Company
AI is a global leader in artificial intelligence, building large-scale machine learning models to empower every person and organization on the planet.
What you will do
- Advance LLM post-training and alignment techniques to improve reasoning, safety, and controllability.
- Architect and refine RAG pipelines to enhance retrieval fidelity and reduce hallucinations in production.
- Optimize retrieval and ranking systems to integrate deeply with LLM-powered search experiences.
- Translate research findings into scalable, reliable model improvements through hypothesis-driven experimentation.
- Collaborate across research, engineering, and product teams to shape long-term search strategy.
- Mentor junior team members and engage with the academic community to strengthen the recruiting pipeline.
Requirements
- PhD with 1+ year, Master's with 3+ years, or Bachelor's with 4+ years of experience in Statistics, Computer Science, or related fields.
- Strong expertise in applying Machine Learning techniques within an industry setting.
- Proficiency in coding with Python, C++, C#, C, or Java.
- Must be able to pass Cloud Background Check upon hire and every two years thereafter.
Nice to have
- Advanced degree (Master's or PhD) with 6+ or 3+ years of relevant experience respectively.
- 5+ years of professional coding experience.
- 3+ years of industry-specific ML application experience.
Culture & Benefits
- Culture based on a growth mindset, respect, integrity, and accountability.
- Focus on inclusivity and customer-obsessed product development.
- Opportunities to collaborate with Research and integrate AI into Office and Azure.
- Commitment to fairness and bias mitigation in research processes.
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