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Senior Machine Learning Researcher
7 dagen geleden
Amsterdam, Netherlands (Hybrid)
IC Resources is seeking a Senior Machine Learning Researcher to join our client's team in Amsterdam. The successful candidate will play a key role in advancing the state-of-the-art in Generative AI by developing cutting-edge deep learning algorithms and engaging in fundamental research to drive innovation across various applications.
Primary Responsibilities:
- Innovative Research: Develop and rapidly iterate on new research ideas in Generative AI, including large language models (LLMs) and reinforcement learning, to solve complex problem-solving tasks.
- Algorithm Development: Create and implement advanced deep learning algorithms, contributing to the improvement of AI capabilities in perception, reasoning, and action.
- Research Collaboration: Work closely with other researchers and engineers to prototype, refine, and publish research findings at major scientific conferences.
- Impact and Deployment: Engage with cross-functional teams to see your research ideas deployed across millions of devices, such as mobile phones, AR/VR headsets, and autonomous vehicles.
- Documentation and Communication: Produce detailed documentation and present your work to internal teams and at external conferences to share knowledge and foster collaboration.
- Educational Background: PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical Engineering, or a related field.
- Technical Expertise: Proven experience in machine learning, deep learning, and/or reinforcement learning, with hands-on programming experience in Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Jax.
- Research Skills: Ability to formulate research problems, design experiments, and implement solutions to advance AI research.
- Communication Skills: Strong ability to document research processes and outcomes, and to present findings at scientific conferences.
- Publication Record: A track record of publishing research in major machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Foundation Models: Hands-on experience with foundation models, such as LLMs or latent variable models (LVMs).
- Coding Skills: Experience in writing clean, maintainable code for research purposes.
- Research Lab Experience: Previous experience working in an academic or industry research lab setting.
- Competitive Salary: Attractive base salary tailored to your experience and expertise.
- Professional Growth: Opportunities for mentorship, learning, and peer engagement, along with the ability to start your own initiatives.
- Collaborative Environment: Work in a vibrant and scenic city, with the chance to collaborate with academic researchers through partnerships such as the QUVA lab.
- Global Network: Be part of a global team that emphasises professional development and offers diverse cultural activities.
- Work/Life Balance: A healthy balance between work and personal life, with a focus on employee well-being.
If you are interested in this position, please apply now for immediate consideration. This is an excellent opportunity for a Senior Machine Learning Researcher eager to work on groundbreaking AI projects and shape the future of AI technology.
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