Applied AI Engineer & Researcher San Francisco, CA View role ->

About this role: We're hiring an AI Engineer & Researcher who is looking to push the boundaries of our models by implementing and experimenting with new research and techniques. As part of the Interfaze lab, you will help improve the performance and capabilities of our models by managing our AI lifecycle, including fine-tuning, automating data collection and cleaning, benchmarking, and deployment. As a founding member at Interfaze, your role will be dynamic, offering opportunities to spearhead and launch innovative research, papers, and products into production while being the go-to expert for all things AI!AreaWhat we use Languages Python, Cython, Typescript, C++ (nice to have), Rust (nice to have) Frameworks Docker, PyTorch, Transformers, CUDAInference engines SGLang, vLLM, TensorRT-LLM, Ollama, Llama.cpp Frontend NextJS/React Backend NodeJS with Typescript Functions & sandboxes Modal, Vercel Database Postgres (Supabase) Query SQL/GraphQLPayment/Billing StripeWhat you will doResearch and understand different machine learning techniques and papers, then experiment with real-world implementation Experience with deep learning frameworks (e.g., TensorRT-LLM, PyTorch), and AI development tools is a must Working closely with the team to train, deploy and serve models at scale on popular cloud providers like AWS, GCP, and more Write papers on your research and experiments contributing to the growing open-source AI world Writing detailed benchmarks on comparisons and analysis (e.g. comparing performance for two embedding models or benchmarking whisper 3 with another model) Quantization and fine-tuning of LLMs and other models for our developer use cases Optimizing models and GPU infra for cost-to-scale ratio based on load Writing Python code and Jupyter Notebooks