We’re looking for AI Research Engineer with a strong foundation in machine learning and artificial intelligence, building and evaluating models. Driven by curiosity and a passion for innovation, delving deeply into cutting-edge research, and rigorously analysing academic literature and technical papers.
Self-motivated, consistently seeking opportunities to introduce novel ideas and solutions that push the boundaries of existing technologies. With a proactive and ownership-driven mindset, practical implementations, fostering innovation at the intersection of research and application.
Responsibilities:
- Design and develop novel AI models and ML algorithms.
- Focusing on state-of-the-art AI research and literature
- Benchmarking current solutions and defining the baseline of models/processes
- Leading projects with an impact-driven approach
- Conduct in-depth research to identify new approaches and techniques.
- Analyze complex datasets and extract valuable insights.
- Coaching, mentoring, and collaborating with junior team members
- Creating reports of the experiments and analyses
- Publish research findings in academic journals or conferences.
Requirements
- +2 years of working experience in AI projects
- Proficiency in Python programming language and Machine Learning libraries and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or similar)
- Good knowledge of the state of the art of technologies in relevant fields (ML, AI, Agentic AI)
- Analytical and with the ability to set requirements and break problems into smaller task
- Experience with large-scale data processing
- Strong problem-solving skills and the ability to tackle complex research questions.
- Ability to work independently and take ownership of projects.
- Good communication skills to present findings and collaborate effectively.
- BSc in Computer Science or Engineering or related field
- Prior experience or some foundation in working with big data and high-throughput systems
Nice to Have:
- Extra points if they have a MEng or MSc (even PhD) in AI / Machine Learning or a related field
- Extra points if they have previous working experience in a cloud-native environment (preferably AWS)
- Extra points if they have paper publications in AI/ML research area.
Benefits
💰 Competitive salary package and participation in our Stock Options plan
🏠 Hybrid work model with flexibility to support your lifestyle
🏥 Comprehensive private health and life insurance coverage
🌴 Extra paid time off to recharge and take care of yourself
💻 The latest tech equipment to support your productivity and creativity
🌍 A collaborative, inclusive, and international work environment