Senior Machine Learning Engineer
San Franciscoonsitesenior
Posted 13mo ago · via Lever
About this role
About Kiddom
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.
What the job involves
You will be part of Kiddom’s AI team, building the foundation of our search, recommendation, and insights systems.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
We compare your skills against the role requirements.
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in San Francisco. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
More at Kiddom
- View →Director, Referral PartnershipsSan Francisco or New York or Open to Remote
- View →K-8 Spanish Language Arts (SLA) SpecialistAnywhere - remote US
- View →Director of DesignSan Francisco
- View →Senior Full Stack Engineer, AI ExperienceSan Francisco or New York
- View →Editorial QA Specialist and Copy Editor (Spanish)Anywhere - remote US
- View →Staff Software Engineer, BackendSan Francisco
