Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “United States; Remote”
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About this role
Babylist is hiring for a Staff Machine Learning Engineer role. See the official posting for full details.
Requirements
- Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
- Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
- An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
- A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
- An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
- AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Summarized from the employer's posting — check the full posting for every requirement.
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