Credit Karma seeks to revolutionize its recommendation engine in ad technology by harnessing the latest advancements in machine learning and GenAI to drive lifetime value and revenue growth for the company and partners.
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
- 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 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++)
- Strong understanding of operational maturity, industry challenges, and future risks and opportunities in large-scale AI systems
- Ad technology and product expertise
Responsibilities
- 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 w/ Senior Leadership across all lines of business on ad technology innovations
- Define and execute the technical vision for current and future ML capabilities as it relates 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
- Stay ahead of industry trends and challenges, identifying opportunities and risks to inform technical decisions and drive innovation
- Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing
- Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience in navigating technical ambiguity and complexity
Other
- Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation
- MS/PhD in a quantitative discipline
- 10+ years of experience in data science, software engineering, or data architecture
- Ability to balance fast paced environments at a large scale company
- Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
