Staff Applied Scientist, Personalization
Design and productionize ML, deep learning, and LLM models for personalization, recommendations, and search systems. Requires 7+ years building production ML/AI with business impact and strong cross-functional collaboration skills.
About the job
Responsibilities
- Design and deploy machine learning, deep learning, and LLM models that shape customer experience, drive business growth, and improve operational efficiency
- Collaborate closely with product, engineering, and analytics teams to bring AI solutions from ideation to deployment
- Develop personalization and recommendation systems delivering dynamic, user-centric experiences across product offerings
- Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction
Requirements
- 7+ years of experience building and productionizing ML/AI models with measurable business impact
- Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization)
- Strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or related field
- Fluency in collaborating with Product, Engineering, and Analytics teams
Nice-to-Haves
- Drive and proactivity — comfortable operating in motion in a fast-paced environment
Compensation & Benefits
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO)
- High-growth, mission-driven, inclusive culture
Skills
Machine Learning, Deep Learning, LLMs, Personalization Systems, Recommendation Systems, Search And Retrieval Systems, Ranking Algorithms, Python, Data Science, Applied Mathematics
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