Your Role
Are you a passionate Machine Learning Scientist looking to make a real impact Dont waste your talent on another delivery/web3/ESG app. At Dunia you will be at the forefront of AIdriven materials discovery contributing to groundbreaking advancements in clean energy. Join us in our mission to secure a sustainable future by developing and optimizing stateoftheart machine learning models for atomic graphs.
About Dunia
Dunia stands at the cutting edge of sustainable innovation. We use AI and robotic automation to accelerate the discovery of new materials aiming to reduce CO2 emissions by over 2.1 billion tons per year. Our inclusive diverse team is dedicated to solving some of the worlds most critical challenges. The name Dunia means world in many languages symbolizing our global mission and impact.
Tasks
- Algorithm Development: Design implement evaluate and optimize machine learning models for atomic graphs leveraging tools like TensorFlow PyTorch and scikitlearn.
- Model Integration & Management: Integrate machine learning models into our autonomous laboratory platform ensuring seamless operation with tools like Kubernetes and Docker.
- Monitoring & Debugging: Utilize monitoring tools such as TensorBoard to ensure the reliability and performance of deployed models.
- Reproducibility & Traceability: Maintain rigorous standards for reproducibility and traceability using Git DVC (Data Version Control) and comprehensive documentation practices.
- Research & Innovation: Conduct pioneering research to advance the application of AI in materials science contributing to initiatives like AI4Science and AI4Climate.
Requirements
- PhD or MS in Computer Science Machine Learning or a related field with a focus on deep learning.
- 3 years of experience in machine learning and software engineering roles with handson experience in training deep learning algorithms (e.g. GNNs Transformers) using cloud platforms such as AWS GCP or Azure.
- Proficiency in programming languages such as Python and familiarity with libraries like TensorFlow PyTorch and scikitlearn.
- Experience with version control systems (e.g. Git) and good software development practices
- Strong communication skills in English and a proven ability to collaborate effectively with interdisciplinary teams.
- Ability to thrive in a fastpaced dynamic startup environment.
Nice to Have:
- A strong publication record in toptier ML conferences or journals.
- Experience in designing and running largescale machine learning experiments
- Familiarity with material science datasets and participation in relevant challenges (e.g. Open Catalyst Project Matbench).
- Knowledge of deploying machine learning models in production environments using MLOps practices.
Benefits
- 30 days of paid holiday
- Significant stock options
- Customizable perks to suit your needs
- Mentorship programs to support your career growth
- A collaborative environment with regular team events
- Flexible working hours and a hybrid work model
- Support for VISA applications for nonEU citizens
Why Join Dunia
Choose a career with purpose. At Dunia your work will directly contribute to clean energy innovation and sustainability. We are committed to creating a diverse and inclusive workplace where everyone feels valued and empowered. Even if you dont meet every requirement we encourage you to apply. We value diverse experiences and are looking for passionate individuals ready to make a difference.