Patterned Learning Career

Junior Data Scientist

Job description

- Remote Job, 1+ Year Experience

Annual Income: $60K - $65K, Onsite

A valid work permit is necessary in the US/Canada

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

About The Job

We are seeking a highly skilled Developer to join our team as a Linguistic Analyst. The successful candidate will specialize in analyzing code responses generated by various Large Language Models. This role requires an strong understanding of Python combined with expert-level English proficiency. The Developer will play a crucial role in evaluating the effectiveness, accuracy, and quality of code responses to determine which model performs better under specific conditions.

Qualifications:

  • Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
  • 1-2 years of professional experience in Python development
  • Good understanding of Python and its libraries/frameworks (e.g., Django, Flask)
  • Excellent understanding of English grammar, syntax, and semantics
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills

Job Description

We are on a mission to expand our portfolio and solutions to drive channel and customer loyalty while also supporting global efforts such as decarbonization and sustainability. Using the power of our innovative products, our goal is to create value for our customers and take a leadership role in the market.

We are transforming the way we do business by changing how we think – learn more about joining our team!

Why Patterned Learning LLC?

Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.

The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.

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