Kiddom

Machine Learning Researcher

Kiddom

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Salary

💰 $180,000 - $280,000 per year

Job Level

Tech Stack

About the role

  • Join our mission to revolutionize K-12 education at the intersection of cutting-edge AI and impactful learning outcomes.
  • 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.
  • This role combines technical excellence with an opportunity to make a tangible impact on the lives of educators and students nationwide.

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.
  • Collaboration: Excellent communication skills to work effectively with cross-functional teams.
  • Education: PhD or Master's in Computer Science, Data Science, or a related field, or equivalent experience.
Benefits
  • Competitive salary
  • Meaningful equity
  • Health insurance benefits: 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). 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. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
  • Commuter and FSA plans
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
generative AI modelsprompt engineeringRetrieval-Augmented Generation (RAG)fine-tuningevaluation of large language model applicationsPython programmingversion controlAI trendsstate-of-the-art solutions
Soft Skills
excellent communication skillscollaboration
Certifications
PhD in Computer ScienceMaster's in Data Science