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Machine Learning Engineer
Machine Learning EngineerKiddom • San Francisco, CA, United States
Machine Learning Engineer

Machine Learning Engineer

Kiddom • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.permanent]
[job_card.job_description]

Join to apply for the Machine Learning Engineer role at Kiddom

Join to apply for the Machine Learning Engineer role at Kiddom

This range is provided by Kiddom. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00 / yr - $250,000.00 / yr

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.

Kiddom is seeking a highly qualified Machine Learning Research Engineer who 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.

Note : There is a list of questions as part of the application process. Not filling them out or putting N / A automatically disqualifies you.

You will...

  • Track and analyze emerging AI systems, focusing on applications and environments related to security and safety
  • Develop a platform for AI data training, fine tuning, evaluation and other AI related needs
  • Work on foundational models with built in security principles
  • Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team

What we're looking for...

  • Masters degree in Computer Science, Computer Engineering, relevant technical field
  • At least 3+ year working with generative AI models
  • Work or academic experience in AI, machine learning, and deep learning technologies
  • Work or academic experience in generic programming languages such as Python
  • 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

    • Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.

    What we offer

    Full time permanent employees are eligible for the following benefits from their first day of employment :

  • 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

    • Equal Employment Opportunity Policy

    Kiddom is committed to providing equal employment opportunities to all employees and 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, or any other protected status in accordance with all applicable federal, state, and local laws.

    Seniority level

    Seniority level

    Not Applicable

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    E-Learning Providers

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