Junior Machine Learning Researcher - Data Science
4 days ago
Description
• Contribute to the research and development of state-of-the-art machine learning models, including continuous (live) learning techniques and advanced embeddings. • Assist in training and refining transformer-based models and large language models (LLMs). • Participate in projects where AI agents learn to interact with and control digital systems, effectively “operating” a PC environment. • Explore novel approaches to integrate ML-driven solutions into our AI employees. • Collaborate with cross-functional teams (senior researchers, software engineers, product managers) to translate research insights into practical, innovative products. • Help evaluate and optimize models for performance, scalability, and adaptability.
Requirements
• A recently or soon completed Bachelor’s or Master’s degree in Machine Learning, Data Science, Computer Science, Engineering, or a related field. • Foundational knowledge of ML methodologies and deep learning frameworks (e.g., PyTorch, TensorFlow) as well as Python and data analysis libraries. • Interest in LLMs, embeddings, and transformer-based architectures. • Curiosity about live learning/online learning methods and willingness to dive into cutting-edge research concepts. • Understanding of cloud platforms (AWS, Azure) and containerization (Kubernetes) is a plus, but not mandatory. • Familiarity with code development workflows and tools like GitHub CI/CD pipelines is beneficial. • Genuine interest in experimentation, research, and continuous improvement. • Strong problem-solving skills, good communication, and the ability to work in a team-driven, innovative environment.
Benefits
• Freedom to shape your working hours, either in your mobile office or at one of our co-working spaces in Europe. • A medium-term perspective to grow into more senior or specialized research roles. • Collaboration with a passionate, innovative, and high-caliber team. • Flat hierarchies ensure short decision paths and direct communication. • Enjoy varied tasks and challenging projects—work on things nobody has done before. • Bring your own device or choose a high-performance device from our IT service. • Professional onboarding and inspiring sparring partners for your growth. • Continuous professional development opportunities to advance your career. • Attractive remuneration model with potential equity options and personal flexibility.
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