An AI Ed-tech Startup
 is hiring a fractional

Senior ML / AI Engineer

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This is a Featured Job

100% guarantee that your intro request will be seen
You’ll receive an update within 14 days
If the company is interested, we’ll intro the two of you directly

Weekly Commitment

5 - 10 hrs

Compensation Range

$100 - $150 / hr

Company Stage

Early Stage VC

Industry

Ed-tech

Location

Remote (USA time zones only)
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io

About Us

We're an early-stage startup at the intersection of education and artificial intelligence.

Our mission is to enhance the capabilities of teachers by leveraging the power of LLMs to create a more engaging and effective learning environment.

Having successfully piloted our alpha version in multiple classrooms with positive feedback, we are now looking to expand our product and grow our business.

About the Work

We're looking for a Fractional Senior ML/AI Engineer to develop and refine our AI-powered tools that support teachers and improve educational outcomes.

We're finishing our MVP this summer in advance of pilot programs launching at schools in the Fall.

Specifically, you'll:

  • Develop and refine machine learning models with a focus on LLMs
  • Design and implement effective prompting techniques
  • Analyze large datasets to extract actionable insights and inform product development
  • Design and conduct experiments to test the effectiveness of our AI tools in real classroom settings
  • Communicate findings and insights to both technical and non-technical stakeholders
  • Collaborate closely with the rest of the Engineering and Product teams, including a Fractional CTO

Our tech stack is:

  • React
  • Python
  • AWS, including Bedrock
  • Langchain / langserve + Claude

About You

You should meet all the following criteria:

  • Plenty of experience deploying ML models with a focus on LLMs
  • Prompting expert
  • Python expert
  • Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, or similar)
  • Strong understanding of statistical analysis and experimental design

How To Get In Touch

Hit that "Request Intro" button below

  • Include any relevant links so we can get to know you better
  • A brief intro note that clearly addresses:
    • Your work deploying ML models
    • Your expertise with LLMs, specifically
    • If you have any ed-tech or health-tech experience, that'd be great to know too.

If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!


How to Get in Touch

Hit that "Request Intro" button below. Include any relevant links so we can get to know you better.

Your brief intro note should clearly address:


If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!

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