Rize is a groundbreaking rent-now-pay-later platform reshaping the rental landscape in Saudi Arabia. We're dedicated to making rentals more accessible and affordable, enabling tenants to manage their finances with ease and landlords to secure their income effortlessly. We're on a mission to revolutionize the rental industry, breaking down barriers and creating opportunities for all. We're a team of innovators, thinkers, and problem-solvers, committed to creating a positive impact and driving change in the market.
Our Team
We love working together, being creative, and doing things differently! Our team is made up of over 20 people with different nationalities. We work from a cozy office in Riyadh, Saudi Arabia. And hey, we're not just smart—we're really good at coming up with new ideas! Plus, you can work from wherever you want because we like to keep things flexible.
Our core values & Principles
- Innovation – We’re a technology-driven team with the purpose of uplifting the real estate sector. We are the leaders of the industry in innovation.
- Customer Centricity – We put the customer at the core of every decision and action.
- Adaptability - Being able to adapt quickly to changing market conditions and customer needs.
- Empowerment & Collaboration – Our team is the most valuable aspect of the company; We respect all ideas, our team enjoys authority, autonomy, and collaboration.
- Ethical Excellence - We perform within the highest ethical standard.
Job Summary
As an AI Engineering Intern, you will be at the forefront of innovation, helping to transition theoretical concepts into functional intelligence. You will collaborate with senior engineers to architect, train, and refine machine learning models that solve complex problems. Your role is a blend of software engineering and data science, focused on building robust, scalable AI systems and staying ahead of the curve in a rapidly evolving field.
What will you be doing?
- Pipeline Development: Designing, building, and testing end-to-end Machine Learning pipelines—from ingestion to evaluation.
- Data Engineering: Preprocessing and augmenting diverse datasets to ensure they are high-quality and "model-ready" for training.
- Cutting-Edge Research: Staying current with AI trends and researching state-of-the-art techniques (such as LLMs, Computer Vision, or Reinforcement Learning) to improve model performance.
- Lifecycle Management: Assisting with ModelOps, including the deployment of models into production environments and monitoring their real-world performance for "drift."
- Scientific Documentation: Maintaining rigorous records of experiments, hyperparameters, and results to ensure all AI development is reproducible and transparent.
You're a perfect match if you have
- Academic Pedigree: Enrolled in a Bachelor’s or Master’s program in Computer Science, AI, or Data Science, with a strong focus on algorithmic thinking.
- Python Mastery: High proficiency in Python, the primary language of the AI ecosystem.
- Framework Fluency: Hands-on experience with the heavy hitters of AI development, such as PyTorch, TensorFlow, or scikit-learn.
- Mathematical Foundation: A solid grasp of Linear Algebra and Statistics—the "engine" that powers neural networks and ML algorithms.
- A Researcher’s Curiosity: The ability to troubleshoot complex bugs in model training and a passion for experimenting with new architectures to find the most efficient solution.
**Benefits
What do we offer?**
- Competitive salary - Receive a competitive salary package in USD or SAR, reflecting your skills and contributions in our industry.
- Diverse International team - Join a diverse international team where different perspectives and backgrounds enrich our collaborative culture.
- Innovation - Shape the future of Proptech with your groundbreaking ideas and technological prowess.
- Direct Impact - See your ideas come to life and make tangible changes in an industry ripe for revolution.
- Fast-paced Learning - Grow personally and professionally every day with opportunities to master new skills in our dynamic start-up environment.
- Creative Freedom - Take the reins, innovate, and push boundaries with the freedom to experiment, learn, and grow at Rize.
- Close-knit Community - Join a collaborative, supportive team where your voice matters and your contributions are recognized and celebrated.