Published: Sun, 15 Dec 2024 22:50:26 GMT
Position: Junior Machine Learning / Data Science Researcher / CTALocation: Germany (remote or preferably Munich)
Start Date: January 2025
Employment Type: Full-time
This job posting is on behalf of one of our partner companies, a cutting-edge startup that is revolutionizing the field of AI.
Are you passionate about shaping the AI of TOMORROW and thrive in a dynamic, fast-growing tech startup environment? Do you have a strong interest in pushing the boundaries of current machine learning paradigms through research-oriented tasks, live learning approaches, and innovative advancements like enabling AI models to autonomously operate computer systems? If so, we welcome you to join us in transforming the world of AI! Together, we are driven by creative ideas and innovative designs to shape the future of work.
As a Junior Machine Learning / Data Science Researcher / CTA (m/f/d), you will bring your foundational knowledge, curiosity, and fresh perspectives to the forefront of the latest AI technologies. You will play a crucial role in developing and refining AI “employees” with the ability to continuously learn and utilize advanced embeddings. Your work will support models that navigate digital environments, operate PC interfaces, and adapt to new information in real-time, bringing the future of AI to life.
Responsibilities:
– Contribute to the research and development of cutting-edge 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 innovative approaches to integrating 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.
Qualifications:
– A recently or soon-to-be 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 proficiency in Python and data analysis libraries.
– Strong interest in LLMs, embeddings, and transformer-based architectures.
– Curiosity about live learning/online learning methods and eagerness to explore 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, effective communication, and the ability to thrive in a team-driven, innovative environment.
Benefits:
– Flexibility to shape your working hours, whether remotely or at one of our co-working spaces in Europe.
– Opportunities for professional growth and potential for advancement into more senior or specialized research roles.
– Collaboration with a passionate, innovative, and high-caliber team.
– Flat hierarchies that enable efficient decision-making and direct communication.
– Diverse and challenging projects that offer the opportunity to work on groundbreaking initiatives.
– Option to bring your own device or choose a high-performance device from our IT service.
– Professional onboarding process and inspiring colleagues to support your personal growth.
– Continuous professional development opportunities to advance your career.
– Attractive compensation package, including potential equity options and personal flexibility.
– Even if you possess only some of the skills listed above, we encourage you to apply. We welcome applications in both German and English. Apply link
