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

Interfaze JigsawStack, Inc.; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Remote-friendly

Mentorship & events

Annual off-sites

Equity/shares

Startup environment

Fully remote communication

Job summary

Interfaze is building a deterministic developer task model, enabling high-accuracy OCR, web scraping, classification, STT, and more. We seek an AI Engineer & Researcher to push model frontiers by researching and implementing new techniques, with involvement from research to production in a fully remote startup setting.

You will contribute to training, benchmarking, and deployment, write papers, and advance the open-source AI ecosystem while collaborating with a global team.

Qualifications

• At least 5 years of AI research experience with publications in top venues.
• Experience across model deployment, benchmarking, fine-tuning, monitoring and scaling services.
• Familiarity with GPU infrastructure and current AI tech stack.

Responsibilities

• Research ML techniques and papers, then implement and experiment on real-world data.
• Work with deep learning frameworks (e.g., PyTorch, TensorRT-LLM) and AI dev tools.
• Train, deploy, and serve models at scale on cloud providers like AWS, GCP.
• Write papers and conduct benchmarks comparing embedding models or ASR systems.
• Quantize and fine-tune LLMs for developer use cases.
• Optimize models and GPU infra for cost-to-scale ratio.
• Write Python code and Jupyter notebooks.

Skills

Python

Cython

Typescript

C++

Rust

TensorRT

PyTorch

Transformers

CUDA

Docker

Jupyter

SQL

GraphQL

Stripe

Tools

Docker

PyTorch

Transformers

Llama.cpp

TensorRT-LLM

Ollama

vLLM

NextJS

React

NodeJS

Modal

Vercel

Postgres

SQL

GraphQL

Stripe

Job description

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.

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!

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

What you will do

• 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

Who you are

• 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.