Experience Not stated in the posting - worth applying if the stack matches
About the role
structured by ORIInterfazepricinghelpdocsblogsign in All roles Applied AI Engineer & Researchercopy markdown Location: San Francisco, CA Apply here: https://forms.gle/cSP7f2iy65efyKiq7 About Interfaze At Interfaze, we're building a new model for deterministic developer tasks that expects high accuracy like OCR, web scraping,…
What you will do
- Research and understand different machine learning techniques and papers, then experiment with real-world implementation
- 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
What they are looking for
- A strong AI Researcher with at least 5 years of experience, and paper publications at venues like ICML, NeurIPS, ACL, NAACL, and IEEE
- Experience with deep learning frameworks (e.g., TensorRT-LLM, PyTorch), and AI development tools is a must
- 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
Nice to have
- 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
- C++ (nice to have)
- Rust (nice to have)
Benefits
- 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
- Annual Education Allowance
AIMachine LearningFine-tuningBenchmarkingDeep LearningQuantizationModel DeploymentWeb ScrapingPythonCythonTypeScriptDockerPyTorchTransformersCUDASGLang
Full posting text
Push the boundaries of the Interfaze models by implementing and experimenting with new research and techniques across fine-tuning, benchmarking, and deployment.