Your Role

You’ll shape and develop Peec AI’s recommendation engine. This will include training, testing, validating, and deploying a wide range of ML and AI models to give our customers industry leading recommendations to improve their AI search visibility. You will be working closely with the sales and marketing team to get to the heart of what our customers desire when it comes to AI search recommendations. You will also work closely with the engineering team to implement these solutions

We don’t require specific degrees or years of experience.

We value clear indicators of excellence, whether it's a high FIDE rating, scaling a side project to a thousand users, published research papers, or any other achievement that demonstrates exceptional skill and drive.

If you can deliver high-quality work at a very fast pace, we’d love to chat.

Our Data Science Stack

• Languages: TypeScript, Python, SQL

• Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX

• Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery, Vertex AI

• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

Our Tech Stack

• Languages: TypeScript

• Backend: GCP, Cloud Functions, Firestore, Firebase Auth, Cloud Tasks, Cloud Scheduler

• Frontend: React, shadcn/ui, Tailwind CSS

• AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.

You're a great fit if you

• Have a track record of outstanding performance in either your professional career, academic career, or some other endeavor.

• Have experience developing NLP and computer vision models from training to maintaining.

• Are skilled with Python, and more specifically the Python ML/NLP ecosystem.

Bonus Points for

• Contributions to open-source projects.

• Deployed side/hobby projects that we can check out.

• Presented research papers at top ML or AI conferences.

• Having started a company before or worked at a very early stage startup.