обновлено 4 дня назад
Applied Scientist Iii (Ai)
148 200 - 216 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Applied Scientist III (AI): Formulating and implementing algorithms to power real-time auctions, dynamic pricing, and bid shaping within a global advertising marketplace. Focus on integrating machine learning, optimization, and game theory in non-stationary environments.
Location: Must be located in California or New York.
Salary: $148,200 - $216,600 USD
Company
Advertising is a global technology leader helping marketers win the moments that matter through an advertising platform reaching over 2 billion people across 150+ countries.
What you will do
- Formulate and implement algorithms for real-time auctions, dynamic pricing, and traffic allocation across a large-scale ad marketplace.
- Design and experiment with methods in online learning, reinforcement learning, and Bayesian modeling.
- Collaborate with product and engineering teams to deploy models in production and run real-world experiments.
- Contribute to the scientific community by publishing high-quality research and staying abreast of advances in machine learning and applied statistics.
- Evaluate the long-term dynamics of deployed algorithms and incorporate feedback.
- Translate mathematical ideas into practical, high-performance algorithms for production environments.
Requirements
- Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- 5.5–7 years of experience working on algorithmic or applied research problems with some production deployment experience.
- Deep grounding in statistical learning theory, optimization, probability theory, and information theory.
- Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.
- Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.
- A researcher’s mindset with end-to-end ownership capabilities.
Nice to have
- Strong publication record.
- Prior experience in ad tech, marketplaces, or dynamic pricing.
Culture & Benefits
- Competitive salary and RSU grant (where applicable).
- High-quality medical, dental, and vision insurance (including company-matched HSA).
- 401(k) company match.
- Flexible working hours.
- Wellness stipend.
- Pet-friendly work environment and robust pet insurance policy.
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