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Applied Scientist (Sales AI)
142 800 - 193 200$
Описание вакансии
Текст:
TL;DR
Applied Scientist (Sales AI): Developing and optimizing AI/ML services for Advertising Sales with an accent on generative AI, reinforcement learning, and statistical modeling. Focus on building science-backed insights, automating account workflows, and enhancing the explainability of complex models.
Location: Seattle, WA, USA
Salary: $142,800 – $193,200 annually
Company
Advertising is a fast-growing business focused on delivering advertising products that drive discovery and sales through technical innovation.
What you will do
- Lead research on state-of-the-art Machine Learning and Generative AI solutions to optimize the Ad Sales business.
- Design and implement successful models and algorithms in support of cross-functional teams.
- Execute A/B experiments and perform detailed statistical analysis to refine model performance.
- Improve the scalability, efficiency, and automation of large-scale data analytics, model training, and deployment.
- Partner with software engineering and product management to define success metrics and drive feature adoption.
- Translate complex scientific findings into actionable business recommendations for senior management.
Requirements
- PhD or Master's degree in Computer Science, Computer Engineering, ML, or a related field.
- 3+ years of experience building models for business applications (4+ years if holding a Master's).
- Proven record of publications or patents at top-tier peer-reviewed conferences or journals.
- Proficiency in programming with Python, Java, or C++.
- Strong expertise in algorithms, data structures, numerical optimization, or distributed computing.
- Must be based in or authorized to work in Seattle, WA, USA.
Nice to have
- Experience using Unix/Linux environments.
- Experience in professional software development.
Culture & Benefits
- Comprehensive health insurance including medical, dental, vision, and prescription coverage.
- Financial benefits such as 401(k) matching and restricted stock units (RSUs).
- Paid time off and parental leave.
- Support for mental health via EAP and specialized support lines.
- Inclusive work environment with accommodations for disabilities.
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