Applied AI Engineer & Researcher View

At Interfaze , we're building a new model for deterministic developer tasks that expects high accuracy like OCR, web scraping, classification, STT, and more. We currently power thousands of systems in industries like healthcare, finance, government, SaaS and more which has processed billions of tokens every month.

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!

Area

What we use

Languages Python, Cython, Typescript, C++ (nice to have), Rust (nice to have)

Frameworks Docker, PyTorch, Transformers, CUDA

Inference engines SGLang, vLLM, TensorRT-LLM, Ollama, Llama.cpp

Frontend NextJS/React

Backend NodeJS with Typescript

Functions & sandboxes Modal, Vercel

Database Postgres (Supabase)

Query SQL/GraphQL

Payment/Billing Stripe

• Research 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

• A strong AI Researcher with at least 5 years of experience, and paper publications at venues like ICML, NeurIPS, ACL, NAACL, and IEEE
• Worked with most of our GPU infra and have a good understanding of our tech stack
• Comfortable with working across the stack - model deployment, benchmarking, fine-tuning, monitoring, and scaling the service
• Up-to-date with the latest papers, techniques, and experiments
• Using AI to 100x your productivity
• Natural curiosity to experiment with new concepts and tools while working closely with our community of developers
• You care about building great products and love to geek out about the latest tech in AI
• Open to feedback and have a growth mindset
• Enjoy working in a startup environment where you can take initiative and contribute to the zero-to-one phase of development
• Previously ran a startup or worked as a founding team member in a startup
• Great compensation package and equity/shares
• Flexible and remote-friendly
• Annually run off-sites
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
• The entire process is fully remote and all communication will happen over email or via video chat.