Our client is an innovative AI startup building cutting-edge solutions in AI search and recommendation systems. They are now looking for an AI Researcher to shape and develop their recommendation engine.
In this role, you will:
Train, test, validate, and deploy a wide range of ML and AI models to provide customers with industry-leading recommendations.
Work closely with sales and marketing teams to deeply understand customer needs around AI search visibility.
Collaborate with engineering teams to implement scalable and reliable ML solutions.
What they’re looking for
No specific degree or years of experience are required.
Clear indicators of excellence, whether that’s a high FIDE rating, scaling a side project to thousands of users, published research, or other achievements that demonstrate exceptional skill and drive.
Ability to deliver high-quality work at a fast pace.
Tech Environment
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.
General Tech Stack:
Languages: TypeScript
Backend: GCP, Cloud Functions, Firestore, Firebase Auth, Cloud Tasks, Cloud Scheduler
Frontend: React, shadcn/ui, Tailwind CSS
You’re a great fit if you
Have a proven track record of outstanding performance in your career, academic path, or other achievements.
Have experience developing NLP and/or computer vision models from training to maintenance.
Are highly skilled in Python, especially within the ML/NLP ecosystem.
Bonus points for
Contributions to open-source projects.
Deployed side or hobby projects we can check out.
Research papers presented at top ML/AI conferences.
Previous experience at an early-stage startup or having founded one.
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