Tech Lead, Personalization

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Requirements:

• Proven expertise in large-scale production recommender systems, with a track record of delivering impactful results.
• Strong understanding of machine learning fundamentals and system design for building scalable and maintainable solutions.
• Experience deploying Generative AI solutions, particularly in applications that prioritize user value and well-being.
• Passion for Ethical AI and creating products that contribute positively to users' lives.
• Strong technical leadership skills, with the ability to mentor junior team members and foster a high-performing team culture.
• Proficiency in Python, SQL, and familiarity with modern data platforms such as Snowflake.
• Excellent communication skills, with the ability to collaborate effectively across teams and influence key stakeholders.
• A creative problem solver who thrives in a mission-driven, fast-paced environment.

Responsibilities:

• Lead the design and implementation of personalized recommender systems at scale, delivering measurable improvements to user engagement and retention.
• Define and execute the personalization roadmap, aligning with Glassdoor’s mission and goals.
• Bring expertise in Generative AI to drive innovative solutions that enhance the user experience in ethical and impactful ways.
• Mentor and guide ML scientists and engineers, fostering a culture of rapid prototyping, cutting-edge research, and results-driven innovation.
• Collaborate with cross-functional teams, including Product, Engineering, and Data Science, to create a seamless and engaging user experience.
• Stay abreast of advancements in ML, recommender systems, and Generative AI, and advocate for their strategic adoption.