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Senior Deep Learning Researcher – Model Efficiency

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: European Tech Recruit
Full Time position
Listed on 2026-11-04
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 80000 - 110000 EUR Yearly EUR 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Senior Deep Learning Researcher – Model Efficiency   European Tech Recruit are working closely with a multinational semiconductor company, based in Amsterdam, who are looking for a talented  Senior Deep Learning Researcher in Model Efficiency  to join their cutting edge future research group.
You will join a team focused on research that pushes the frontier of on-device efficiency. They focus on developing novel techniques to optimize LLMs and LVMs, including model quantization and compression, efficient data types, conditional compute and inference time compute. The team pushes the state‑of‑the‑art to make modern foundation models more efficient and deployable on edge devices, ensuring best performance with minimal resource usage.
Responsibilities as Senior Deep Learning Researcher - Model Efficiency:
Conduct research and develop and quickly iterate on innovative deep learning‑based models and algorithms.
Design, experiment, and implement novel solutions that advance the state‑of‑the‑art for inference efficiency, in close collaboration with other researchers and engineers.
Through your research, create scientific as well as business impact, helping to develop impactful breakthroughs in AI Research.
Engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles.
Stay up to date with the latest advancements in AI and machine learning.
Publish novel research findings in top‑tier conferences and journals and engage with the academic community.
Requirements:
PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
Proven experience in deep learning and machine learning research, including hands‑on experience developing and optimizing models, and comfortable with all aspects of the research cycle.
Programming experience in Python and hands‑on experience with standard deep learning toolkits such as PyTorch or Jax.
Can write clean and maintainable code for research and advanced prototyping and follow best practices.
Strong problem‑solving abilities and a collaborative mindset.
If this role is of any interest please apply directly on Linked In or send a copy of your CV to
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Position Requirements
10+ Years work experience
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