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Staff AI Scientist II (Ad Technology)
413 306$
Описание вакансии
Текст:
TL;DR
Staff AI Scientist II (Ad Technology): Revolutionizing the recommendation engine in ad technology using machine learning and GenAI, driving the development of AI-powered monetization strategies. Focus on architecting and implementing scalable solutions that create the best ML-driven experiences for members, propelling lifetime value and revenue growth for the company and partners.
Salary: $413,306 plus equity and benefits
Company
champions financial progress for over 140 million members globally, offering services like credit scores, identity monitoring, credit cards, insurance, loans, and banking.
What you will do
- Collaborate with Engineering, Product, and cross-functional teams to architect and implement cutting-edge machine learning systems at scale, driving technical strategy and roadmap for AI capabilities.
- Present and drive alignment with Senior Leadership across all lines of business on ad technology innovations.
- Define and execute the technical vision for current and future ML capabilities related to ad recommendations, with a focus on GenAI and Agentic systems.
- Design and develop large-scale AI systems, leveraging expertise to evolve current systems and create competitive advantages in ad tech.
- Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing.
Requirements
- MS/PhD in a quantitative discipline (e.g., computer science, machine learning, data science, engineering) with 10+ years of experience in data science, software engineering, or data architecture.
- Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation.
- Proven track record of designing and implementing large-scale machine learning systems, with expertise in scaling AI-powered solutions.
- Ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating the latest advancements (e.g., GenAI).
- Deep understanding of current ML systems and the ability to evolve them into cutting-edge, innovative, and scalable solutions.
- Strong background in programming languages (e.g., Python, Java, C++).
Nice to have
- Ad technology and product expertise.
- Experience with driving monetization through AI.
- Expertise developing GenAI capabilities and supporting tools and infrastructure.
- Ability to balance fast-paced environments at a large-scale company.
Culture & Benefits
- Medical and Dental Coverage
- Retirement Plan
- Commuter Benefits
- Wellness perks
- Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
- Education Perks
- Paid Gift Week in December
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