Founding Machine Learning Engineer
1 week ago
By combining the power of AI with user-centered design, Figr aims to transform the design process - from research to ideation to prototyping.
The RoleWe 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 youKey ResponsibilitiesQuality 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 NeededExcellent 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 ForA dislike for the status quo and authority bias.
ApplyFill out the following form:
Form( out to Chirag Singla on LinkedIn( or via email at
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