Senior Machine Learning Engineer - Growth

building and scaling machine learning models in business applications using large amounts of data

Experience building datasets and evals to benchmark systems operating at a large scale

Ability to communicate and explain ML concepts to diverse audiences, craft a compelling story

Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"

Agile development mindset, appreciating the benefit of constant iteration and improvement

Experience in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components, and developing innovative solutions

Experience partnering with product, analytics, marketing, or sales teams to build personalized customer journeys or sales-assist experiences

Familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, causal inference, or other approaches for optimizing decisions under uncertainty

It's great, but not required, if you have

Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

Experience applying machine learning to growth, personalization, recommendations, ranking, experimentation, or decisioning problems across a customer funnel

Understanding of engagement, activation, conversion, expansion, and retention metrics, and how to balance short-term signals with downstream outcomes

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