Junior Machine Learning

Vor 2 Tagen


Grünwald, Deutschland NumberSquare GmbH Vollzeit

Location: Germany (remote or preferably Munich)

Start Date: January 2025

Contract Type: Full-time

This job posting is on behalf of one of our partner companies, an innovative startup that is shaping the future of AI.

Do you already think about the AI of TOMORROW and love the FREEDOM to work for a fast-growing tech startup? Are you excited about pushing the boundaries of current machine learning paradigms through research-oriented tasks, live learning approaches, and innovations like enabling AI models to autonomously operate computer systems? Then we look forward to turning the AI ​​world upside down with you Together, we stand for creative ideas and innovative designs to shape the revolution in the world of work.

As a passionate Junior Machine Learning / Data Science Researcher / CTA (m/f/d) you will contribute your foundational knowledge, curiosity, and fresh perspectives to the latest AI technologies. You will help develop and refine AI “employees” capable of continuous (online) learning and leveraging advanced embeddings. Your work will support models that navigate digital environments, operate PC interfaces, and continuously adapt to new information—truly bringing the future of AI to life.

Aufgaben
  • 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.
Qualifikation
  • 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.

Even if you only possess some of the skills listed above, we look forward to receiving your application. You can submit your application in either German or English.



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