Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
What You’ll Do
Work closely with founders and leadership to identify AI-driven efficiencies across product, operations, marketing, and finance.
Prototype, test, and deploy AI/ML solutions to automate workflows, optimize processes, and enhance decision-making.
Explore and implement state-of-the-art AI models (LLMs, NLP, Computer Vision, Predictive Analytics).
Build internal AI tools and automation systems to improve productivity across departments.
Collaborate with engineering and product teams to integrate AI models into live systems.
Research and experiment with cutting-edge AI/ML frameworks and technologies.
Who We’re Looking For
Tier-1 College Candidates – IITs, NITs, BITS, IIITs, or equivalent premier engineering institutions.
B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or related fields.
AI Experience – Prior projects, research, or internships in AI/ML (preferably around automation, NLP, or LLMs).
Tech Skills:
Proficiency in Python, TensorFlow, PyTorch, OpenAI APIs, Hugging Face, LangChain.
Experience in building AI-powered applications and APIs.
Strong understanding of data structures, algorithms, and AI/ML fundamentals.
Familiarity with Vector Databases, RAG (Retrieval Augmented Generation), AutoGPT, etc. is a plus.
Why Join Us?
Work directly with the founders on real-world AI applications.
Impact-driven role – Apply AI across multiple business functions.
Fast-paced learning – Exposure to the latest AI/ML models and hands-on projects.
Potential for full-time role – High performers may be offered pre-placement offers (PPOs).