July 14
🏢 In-office - San Francisco
• Drive engineering execution within the MLP team on a regular basis • Craft, communicate, and execute on the team’s vision and roadmap in partnership with our platform PM • Collaborate with core infrastructure and data platform to make sound, first-principle decisions • Partner with product engineering teams to ensure high quality, efficient delivery of model outputs into production • Work closely with MLEs to create an ergonomic workflow as a paved path that maintains some flexibility • Act as a strong summarizer that is able to make tradeoffs among priorities to ensure consistent, high-quality deliver
• 3+ years of experience managing a team of engineers delivering data products • 5+ years of experience as a software or machine learning engineer • Demonstrated experience building ML products from 0 - > 1 • Strong execution skills to keep work on track • A healthy balance between digging into code/architecture and leading through others • A bias towards quantitative measure of progress and performance • Demonstrated experience managing and growing engineers up to and through the staff level
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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