What is the impact you want to make?
Unleash your biggest strengths, apply skills & knowledge, learn new things, connect with your peers and build your career with us!
Why rinf.tech?
#EngineerOfTheFuture, #PeopleofManyTalents
- At rinf.tech, you’ll encounter friendly people who are eager to explore and reinvent the world of technology.
- We encourage ideas - we like to share and learn from each other. We’re all in for curious & ambitious people.
#GrowOpportunities
- We continuously invest in developing core teams focused on technologies like Blockchain, AI, and IoT - www.rinf.tech/careers/core-blockchain-and-ai-teams/
- Our Technical Management team, possesses a robust technical background. Many of our team members have advanced to strategic roles through internal promotions.
- In a state of mutual willingness to share & grow, our RINFers commit to a minimum tenure of 2.5 years on a project.
#EngineeringExcellence
- Fail fast, learn fast: we experiment, we iterate, we know when to stop and we don't repeat the same mistakes.
- The right technology stack for the right problem: we don't force technology choices just because we know them; our focus is on solving problems, not on pushing predefined stacks.
#Innovation
- Adapta Robotics is a successful spin-off born through an R&D project within rinf.tech www.adaptarobotics.com/
Why do we do what we do?
We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!
Our Vision!
Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!
What you’ll do
- VLM Development Expertise
- Build production-ready visual AI applications
- Design efficient multimodal systems
- Optimize model performance and inference
- Deploy scalable visual recognition solutions
- Real Project Portfolio
- Build a visual search engine
- Develop an intelligent image captioning system
- Create a visual question-answering platform
- Deploy visual content moderation systems
- Industry Best Practices
- GPU-optimized deployment workflows
- Visual data privacy and security
- Model compression techniques
- Performance monitoring for visual AI
- Career Outcomes
- Direct path to rinf.tech Visual AI Engineer position
- Work on enterprise computer vision projects
- Competitive salary package
- Research collaboration opportunities
What you need to be successful
- Python Proficiency
- Strong Python programming skills.
- Experience with PyTorch or TensorFlow.
- Familiarity with image processing libraries like PIL, OpenCV.
- Development Tools
- Comfortable with Jupyter or MARIMO notebooks for prototyping
- Git version control proficiency
- Container orchestration basics (Docker)
- Computer Vision Background
- Basic understanding of CNN architectures
- Experience with image preprocessing
- Familiarity with computer vision tasks
- Data Skills
- Image dataset handling and preprocessing
- Working with visual embeddings
- Experience with multimodal data formats
- Nice to Have: Experience with CLIP or similar VLMs; Knowledge of attention mechanisms; GPU computing experience
Next Steps for you!
- Selection method: Online application with Essay
- For final-year students under 26 years based in Bucharest, Romania
- Registration deadline: November 15, 2024
- Start date: November 25, 2024
- Duration: 6 months, 4h per day
- Remote program
Essay Requirements
- Length: 1000-1500 words
- Language: English
- Format: PDF with code and visual examples. Include portfolio/project demonstrations
- Technical Background: Describe your computer vision experience and detail any VLM projects or experiments. List relevant frameworks used and explain your ML development workflow.
- Project Deep-Dive: Present a visual AI project you built explaining the architecture decisions and describe optimization strategies. Share results and performance metrics.
- Problem-Solving Example: Present a computer vision challenge detailing your debugging approach. Explain performance improvements and discuss scalability solutions.
- Business Understanding: Describe potential VLM applications and compute resource planning. Show understanding of visual AI costs versus benefits, present innovative use cases.
Meet us!
Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.