Nextdoor
Machine Learning Engineer - Ads
$205K–$355K
US Remote +1 · Remote · Full-time · Posted May 31, 2024
- Location
- US Remote
San Francisco, California, United States - Experience
- 5+ years of industry/academic experience applying machine learning at scale.
- Education
- B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field.
About the job
Build and deploy advertising machine-learning models that make low-latency, real-time decisions, and evaluate them through live user-facing experiments.
What you'll do
- Gather and analyze datasets and features to build low-latency ML models.
- Deploy models to production and integrate them into the product; run experiments to measure impact and improve model quality.
- Collaborate with Product, Data Science, engineers, and data scientists on platform experiences and foundational ML patterns.
What they ask for
- Experience building ML models for advertising products.
- Proven engineering skills, including writing and maintaining high-quality production code.
- Ability to work with and analyze large amounts of data.
- Ability to succeed in a dynamic startup environment.
Pay
$205,000 to $355,000 USD annualized base salary
AI focus
Build machine-learning models for advertising and other platform decisions, deploy them in production, and measure their impact through experiments. Team members are expected to use AI tools in their workflow, including Claude, Gemini, ChatGPT, and Glean.
Model-written summary · the original posting is authoritative