Applied Scientist (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Applied Scientist (GenAI): Designing and developing GenAI and deep learning solutions to transform ad retrieval, auctions, and personalized shopping experiences with an accent on LLMs, multi-objective optimization, and reinforcement learning. Focus on building novel generative models to elevate ad relevance and user engagement at massive scale.
Location: USA (Seattle, New York, Palo Alto)
Company
AI is re-imagining the advertising landscape through state-of-the-art generative AI technologies to transform how customers discover products and engage with brands.
What you will do
- Develop GenAI, deep learning, and RL-empowered solutions to transform ad retrieval, auctions, and whole-page relevance.
- Collaborate cross-functionally with scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
- Prototype innovative concepts and integrate the latest trends in LLMs and GenAI into the organization.
- Implement best-in-class algorithms and infrastructure to enable rapid experimentation and scaling.
- Mentor and grow junior scientists and engineers, cultivating a collaborative and intellectually curious team.
Requirements
- PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.
- 3+ years of experience building models for business applications.
- Proficiency in Java, C++, Python, or related programming languages.
- Strong foundation in GenAI, LLMs, machine learning, deep learning, and probabilistic modeling.
- Experience developing and deploying models in real-world production environments.
Nice to have
- Expertise in foundation models, fine-tuning, and customization for downstream tasks.
- Hands-on experience in ads ranking, retrieval, and recommendation systems at web scale.
- Deep understanding of RAG, RLHF, or multi-modal modeling.
- Experience with A/B testing frameworks and metrics design for e-commerce or advertising.
- Familiarity with auction theory and ad economics.
Culture & Benefits
- Inclusive culture that empowers employees to deliver the best results for customers.
- Opportunity to apply frontier AI to real-world problems with massive scale and impact.
- High-performing, intellectually curious environment with a focus on scientific rigor.
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