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Founding Machine Learning Engineer
4 months ago
Who We Are
Figr( is a venture-funded, early-stage startup developing next-generation design tools to automate workflows for UI/UX designers and teams. By combining the power of AI with user-centered design, Figr aims to transform the design process - from research to ideation to prototyping.
The Role
We are currently looking for an experienced Large Language Model (LLM) Engineer focused on fine-tuning and exploring LLMs for design purposes, including code generation for UI/UX. The role involves an end-to-end journey of creating data and fine-tuning open-source LLMs.
If you have a knack for problem-solving, possess excellent communication skills, and share our vision of redefining the democratization of AI, this role is for you
Key Responsibilities
- Quality data curation and improvement for fine-tuning LLMs. This is the key responsibility, and we are looking for an out-of-the-box thinker who can brainstorm new ideas on how to tackle data-related problems.- Fine-tuning LLMs.- Deploying LLMs on GPUs with minimal latency on AWS/GCP.- Leading the current Data Science team to the next breakthrough.
Skills Needed
- Excellent communication skills, allowing seamless collaboration within our diverse team.- A minimum of 3-5 years of hands-on experience with PyTorch.- Deep understanding of the Transformers architecture, its underlying components, and new SLM/LLM architectures.- Proficiency in determining which metrics/loss functions to track for your use case.- Experience with working on Lora, QLora, LLMs optimization techniques, and deployment strategies.- Hands-on experience with multi-GPU training.- Ability to implement research papers and stay updated with the latest trends that could be useful for our use case.- Experience with Git and conducting code reviews.
Bonus Points For
- A dislike for the status quo and authority bias.
Apply
Fill out the following form: Form( out to Chirag Singla on LinkedIn( or via email at