Machine Learning Researcher - Hybrid
Job Description
We are seeking a dedicated Machine Learning Researcher to join our innovative team focused on advancing machine learning methodologies. Your primary mission will be to explore and develop cutting-edge research projects aimed at enhancing performance across various applications, particularly in computer vision and natural language processing. You will have the opportunity to tackle significant theoretical questions, such as meta-learning and hyperparameter optimization, and work on translating these theoretical insights into practical applications that set new industry benchmarks. As part of your role, you will also engage in publishing your findings in prestigious journals and present at renowned conferences like ICML, NeurIPS, or ICLR. You will collaborate closely with academic institutions to stay at the forefront of machine learning advancements and actively contribute to our dynamic learning environment. Additionally, you will provide support to our team in implementing state-of-the-art machine learning algorithms to solve complex real-world problems.
Key Responsibilities
As a Machine Learning Researcher, you will be responsible for conducting research and applying advanced machine learning techniques to various projects. Your work will directly impact the efficiency and effectiveness of our solutions.
- Research and develop innovative machine learning methodologies
- Work on projects related to computer vision and natural language processing
- Translate theoretical concepts into practical applications
- Publish research findings and present at conferences
- Collaborate with academic partners to enhance research initiatives
- Stay updated with the latest advancements in machine learning
Required Technical Skills
Soft Skills
Qualifications
- MSc or PhD in mathematics, physics, computer science, or a related field
- Published academic papers, preferably in machine learning
- Strong foundation in machine learning and deep learning techniques
Language Requirements
Programming Languages:
Python, TensorFlow, PyTorch, R
Spoken Languages:
English, German
Benefits & Perks
- ✓ Flexible working hours
- ✓ Hybrid work model
- ✓ Support for publishing research
- ✓ Collaborative work environment
- ✓ Access to a well-equipped office
Working Conditions
Hybrid
Company Culture
We foster a culture of equal opportunities and inclusivity, encouraging diverse perspectives and backgrounds. Our team values collaboration, innovation, and continuous learning, making it an ideal environment for growth in the rapidly evolving field of machine learning.
Salary Range
Project Types: Not Available
Career Growth: Potential for career growth within the organization, Opportunities to lead research projects, Ability to collaborate with leading academic institutions