Kiddom
Machine Learning Researcher
San Francisco · Junior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$136 more — $175,136 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $175,136 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what's possible with AI in education.
- Your work will assist teachers by personalizing their teaching experience and improving student outcomes.
Requirements
- At least 1+ year working with generative AI models.
- Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications.
- Proficiency in Python programming and version control.
- Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions.
Nice to have
- Hands-on experience with multi-modal models.
- Familiarity with software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
- Interest or experience in authoring research papers or white papers.
- Work on Cutting-Edge AI: Dive into the latest advancements, including prompt engineering, RAG, multi-modal models, and more.
Compensation
- Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
Benefits
- Average use 4 weeks off per year. * 10 paid sick days per year (pro rated depending on start date) * Paid holidays * Paid bereavement leave * Paid family leave after birth/adoption.
- About Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning.
- 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.
- Join our mission to revolutionize K-12 education at the intersection of cutting-edge AI and impactful learning outcomes.
- medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance * One Medical membership (in participating locations) * Flexible vacation time policy (subject to internal approval).
Visa & Work Authorization
- nd applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability,
This listing is sourced directly from Kiddom's careers page and normalized into a canonical job model.