Own end-to-end ML models from framing to deployment.
Innovate on models to improve core relevance signals.
Collaborate with engineers, data scientists, and PMs on experiments.
Work with ML infrastructure including embedding-based retrieval and Graph Neural Networks.

🎯 Requirements

Bachelor's degree in CS, Data Science, or related field.
1–3 years of ML industry or research experience.
Python proficiency; experience with PyTorch or TensorFlow.
Strong knowledge of ranking, classification, regression, eval.
Familiar with version control, testing, code reviews.
Experience with SQL and data analysis.

🎁 Benefits

Equity in a fast-growing company
401(k) match and financial coaching
Paid parental leave and fertility benefits
Medical, dental, and vision; mental health support
Learning stipend and ongoing development
Remote & Office options; SF office perks

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