Senior Deep Learning Researcher – Model Efficiency

European Tech Recruit; Amsterdam; On-site; EUR 80,000 - 110,000; Full time

Job summary

A leading semiconductor company in Amsterdam is looking for a talented Senior Deep Learning Researcher in Model Efficiency to join their cutting-edge research group. In this role, you will conduct innovative research on optimizing deep learning models for efficiency, collaborating with engineers and researchers. A PhD in a related field and experience with Python and deep learning frameworks like PyTorch or Jax are required. This position offers opportunities to publish research and impact millions of devices globally.

Qualifications

• PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical Engineering, or similar field.
• Proven experience in deep learning and machine learning research.
• Programming experience in Python with deep learning toolkits like PyTorch or Jax.

Responsibilities

• Conduct research and develop innovative deep learning-based models.
• Design and implement solutions for inference efficiency.
• Publish research findings in top-tier conferences and journals.

Skills

Deep learning

Machine learning research

Python programming

Pytorch

Jax

Problem-solving

Education

PhD in Machine Learning or related field

Tools

Deep learning toolkits

Job description

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 LinkedIn or send a copy of your CV to [e-mail].

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