Large Language Model (LLM) AI Research Engineer

Upfeat Media, Inc.; Winnipeg; Remote; CAD 70,000 - 110,000; Full time

Job summary

A leading company in applied AI seeks a Large Language Model AI Research Engineer passionate about NLP and innovative solutions. This role involves developing datasets, engaging with cutting-edge technologies, and contributing to projects that empower financial success. Ideal candidates will have a strong background in Computer Science or Machine Learning and thrive in a collaborative environment.

Qualifications

• Bachelor’s degree in Computer Science or Machine Learning required.
• Experience with Langchain and RAG needed.
• Proficient in Python with ML libraries (TensorFlow, PyTorch).

Responsibilities

• Lead development and management of datasets for LLM fine-tuning.
• A/B test open-source LLMs to improve performance.
• Create applications using LLMs and related technologies.

Skills

Problem Solving

Attention to Detail

Logical Reasoning

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Machine Learning

Tools

Langchain

TensorFlow

PyTorch

Job description

About Upfeat

Upfeat is an applied AI lab working on helping people with everyday financial needs. We build AI solutions to improve the financial livelihood of people from all walks of life.

We’ve built an open, collaborative remote-first environment and we love to learn and experiment with new ideas and technologies. We’re proud to appear in the Globe and Mail Report on Business of Canada's Top Growing Companies. In addition to, being ranked in the Deloitte Technology Fast 50 program, and recognized on the Deloitte Technology Fast 500.

Role Description

We’re on the lookout for a Large Language Model (LLM) AI Research Engineer who loves getting their hands dirty in the world of NLP. If you’re the kind of person who enjoys diving into complex problems, playing around with massive data sets and turning big ideas into real-world solutions, then you’ll fit right in!

This role is perfect for someone who likes to work both in a team and independently, bringing innovative ideas to life, especially in the area of LLMs. We’re a rapidly growing company with a mission and we want someone who’s as excited as we are to make a big impact. We are also looking for people that are passionate about empowering the financial success of our customers.

Responsibilities

• Lead the development and management of datasets specifically tailored for fine-tuning LLMs, aimed at maximizing model efficiency and effectiveness.

• A/B test different open-source LLMs to enhance performance and applicability.

• Develop cool applications using LLMs and if you’ve worked with Huggingface that’s a plus.

• Engage in pioneering projects with langchain and related LLM applications, pushing technology boundaries and trying new things.

Qualifications

• A Bachelor’s degree in Computer Science or Machine Learning.

• Experience with Langchain and RAG

• Experience training / fine tuning and deploying open source LLM’s

• Proficient in Python with extensive experience in ML libraries like TensorFlow and PyTorch.

• Exceptional problem solving abilities, meticulous attention to detail and a talent for logical reasoning

Notice for Job Applicants

We are living and thriving on diversity at Upfeat! We thank all applicants, however only those selected for an interview will be contacted.