Staff Machine Learning Engineer, Growth and Engagement

Impact:

• Own the end-to-end lifecycle of complex ML models that drive user acquisition, retention, and LTV.
• Establish robust experimentation frameworks (A/B testing, causal inference, multivariate testing) to validate model variants.

Collaboration:

• Partner with Product and Growth teams to translate business hypotheses into actionable ML problems.
• Mentor and coach senior engineers, fostering a culture of technical excellence.

Work Environment:

• Fully remote with flexible hours and a supportive remote culture.
• Receive a stipend for your ideal WFH setup, including laptop, headphones, and other gear.

Benefits:

• Competitive salary and equity, comprehensive insurance, and daily lunch benefit.
• Unlimited vacation and wellness benefit to support your well-being.