Senior AI Research Engineer
is an ML driven software that helps scientists and researchers all over the world throughout their work. We are building a fully fledged Science Assistant Machine that can read and understand scientific text and give you the full picture of the current state-of-the-art in a human understandable way.Our AI
facilitates our clients’ research and development process in creation of innovative, sustainable resources, overcoming global health and climate crisis, driving education and science.Job Description:
The expansion of our tools portfolio is driving the need and possibility for conducting fundamental research in-house at Iris.ai. Because of that we are looking for a driven, curious and excited to work in a startup Senior Research Engineer to join our team of researchers. The work will consist of conducting fundamental research (reading and implementing scientific articles) on the topics listed in our website , converting existing research scripts into application ready libraries and writing scientific technical reports and articles to be submitted to conferences and peer-reviewed journals.Technologies used:
- Python OOP
- Python ML/NLP libraries, such as tensorflow, pytorch etc.
- Open AI API
- Research and Development: Lead AI research engineers are responsible for conducting cutting-edge research in the field of artificial intelligence. This includes staying up to date with the latest developments in AI and machine learning, and using this knowledge to develop innovative solutions.
- Algorithm Development: Design, implement, and optimize machine learning algorithms and models for specific applications. This involves data preprocessing, feature engineering, model selection, and fine-tuning.
- Prototyping: Develop prototypes and proof-of-concept models to demonstrate the feasibility of AI solutions for various use cases.
- Data Collection and Annotation: Supervise data collection and annotation efforts, which are crucial for training and evaluating machine learning models.
- Model Evaluation: Design experiments and metrics to evaluate the performance of AI models. Continuously iterate on models to improve their accuracy and robustness.
- Technical Documentation: Prepare detailed documentation of research findings, algorithms, models, and code for internal and external use.
- Ethical Considerations: Consider the ethical implications of AI solutions and ensure responsible and fair AI practices in research and development.
- Quality Assurance: Implement best practices for testing and quality assurance to ensure that AI models and software meet high standards of performance and reliability.
- Stay Informed: Keep abreast of the latest advancements in AI and attend conferences, workshops, and seminars to network with peers and contribute to the AI community.
- Publications: Contribute to the generation of intellectual property through publications in relevant journals and conferences.
- Problem Solving: Tackle complex technical challenges, identify bottlenecks, and find innovative solutions to advance AI research and development.
- Mentorship: Mentoring Junior researchers and Research Interns
- Master or PhD degree in Machine Learning, Computer Science or similar subject
- At least 5 years of relevant industry ML research experience
- Professional experience with ML and NLP projects
- Knowledge and experience with Natural Language Processing
- Impeccable coding skills in Python
- Knowledge in object oriented programming, code optimization, parallel programming, and architecture design
- A record of publications in the ML or NLP fields.
- Located in Europe
- A job with immense value - global mission, changing the course of Science
- A futuristic mix of AI , Engineering and Science
- An international team of Aces - highly intelligent and versatile engineers + experienced entrepreneurs
- Competitive salary
- Annual Salary Review
- Share options plan
- 30 days annual paid vacation + bonus days. Yes, for real!
- Flexible work hours
- Flexible work location - You choose where to work from within Europe
- 100% remote work - You want it? - You have it!
- Regular Team building activities and travels
- Seasonal Working Get Togethers (summer / winter)
- Personal equipment reimbursement program
- Charity and volunteer activities
- Employee Recognition program
- Career Enhancement plan
- Knowledge transfer
- New Technologies Introduction & Learning opportunities
- Mentorship opportunities
- Workshops, Conferences, Hackathons (internal & external)
- Freedom to bring innovation and your ideas to life
If you believe you have what it takes to join a team working on the frontier of Text Understanding, Argument Mining and Topic Modelling, and work on building our next generation of ML driven tools, please do not hesitate to apply.