ML Contractor

Kangaroo; San Francisco (CA); On-site; USD 34,000 - 55,000; Part time

Job summary

Kangaroo in San Francisco seeks an ML contractor focused on NLP to collaborate with our ML contractor and founders. You will explore GPT-3, recent training approaches, and storytelling research to generate stories mirroring Kiernan Shipka.

This role shapes a product expected to reach millions of fans. You will work with product leads to scope features and ensure the end-user storytelling experience is compelling, practical, and scalable.

Qualifications

• Current CS student with NLP focus preferred.
• Experience in applied machine learning or AI.
• Experience with Python, Java or C/C++.
• Available 10-15 hours per week to dedicate to Kangaroo.

Responsibilities

• Collaborate with our ML contractor and founders to apply NLP techniques for story generation.
• Explore GPT-3 and new training approaches from recent papers.
• Contribute to scoping features with product leads for end-user storytelling product.

Skills

NLP experience

Applied ML

Programming knowledge

Part-time availability

Education

CS student focusing on NLP

Master's degree in CS/AI (nice to have)

Tools

Python

Java

C/C++

TensorFlow

Job description

The Opportunity

An ML contractor at Kangaroo is ready to get their hands dirty and try out novel NLP techniques for our story generation approach. You will work closely with our existing ML contractor and the founders to utilize GPT-3, new training approaches from recently published papers, and storytelling research to generate stories based on the likeness of Kiernan Shipka. Kiernan's fans are hungry for this product, so your work will be turned into a tangible product that reaches millions of people. Along the way, you will have a direct impact on how to best build for our end users, working with product leads to scope features.

What is needed for the role

Minimum qualifications

• Current student majoring in CS with focus on NLP preferred
• Experience in applied machine learning or artificial intelligence
• Experience with one or more general purpose programming languages such as Python, Java, C/C++, etc.
• 10-15 hours a week to dedicate to Kangaroo

Nice to haves

• Master's or higher degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
• Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
• Experience with relevant technologies (e.g., Tensorflow, Flume, machine learning libraries)
• Relevant professional experience with applied data analytics and predictive modeling