Senior Deep Learning Researcher

European Tech Recruit; Amsterdam; On-site; EUR 110,000 - 150,000; Full time

Job summary

European Tech Recruit in Amsterdam seeks a Senior Deep Learning Researcher to advance model efficiency for edge devices, including quantisation and LLM inference optimization. Join a global AI research team delivering deployable solutions for mobile, robotics and autonomous systems.

The role blends rigorous ML research with engineering collaboration to translate findings into real-world impact across devices, emphasizing publication quality, code discipline and cross-team collaboration.

Qualifications

• PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical Engineering, Computer Science or a similar field, or a Master's degree in Computer Engineering, Computer Science, Electrical Engineering or a related field with 2+ years of hardware, software, systems or related engineering experience.
• Proven experience in machine learning and deep learning, including hands-on development and optimisation of models, and comfort 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.
• Ability to write clean, maintainable code for research and advanced prototyping, following best practices.
• Strong problem-solving abilities and a collaborative mindset.
• Desirable experience in one or more of the following: extensive deep learning research with impactful first-author publications at top-tier venues such as NeurIPS, ICML, ICLR and CVPR.

Responsibilities

• Conduct research to develop and rapidly iterate on innovative deep learning models and algorithms.
• Design, experiment with and implement novel solutions that advance the state of the art in inference efficiency.
• Develop techniques to optimise LLMs and LVMs, including model quantisation and compression, efficient data types, conditional compute and inference-time compute.
• Collaborate closely with other researchers and engineers to deliver both scientific and business impact.
• Engage with other teams to deploy research outcomes on millions of devices, such as mobile phones, robots, AR/VR headsets and automated vehicles.

Skills

Machine learning

Deep learning

Python

Research

Collaborative mindset

Education

PhD in ML/CS/EE or related field

Master's degree with 2+ years relevant experience

Tools

PyTorch

JAX

Job description

Senior Deep Learning Researcher - Model Efficiency / Quantisation / LLMs / PyTorch / JAX

We are currently partnered with a global technology organisation specialising in fundamental AI research and its deployment across devices. This opportunity sits within the Model Efficiency research team, contributing to research that makes modern foundation models more efficient and deployable on edge devices, with applications across mobile phones, robotics, AR/VR headsets and automated vehicles.

Key responsibilities

• Conduct research to develop and rapidly iterate on innovative deep learning models and algorithms.
• Design, experiment with and implement novel solutions that advance the state of the art in inference efficiency.
• Develop techniques to optimise LLMs and LVMs, including model quantisation and compression, efficient data types, conditional compute and inference-time compute.
• Collaborate closely with other researchers and engineers to deliver both scientific and business impact.
• Engage with other teams to deploy research outcomes on millions of devices, such as mobile phones, robots, AR/VR headsets and automated vehicles.

Key requirements

• PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical Engineering, Computer Science or a similar field, or a Master's degree in Computer Engineering, Computer Science, Electrical Engineering or a related field with 2+ years of hardware, software, systems or related engineering experience.
• Proven experience in machine learning and deep learning, including hands‑on development and optimisation of models, and comfort 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.
• Ability to write clean, maintainable code for research and advanced prototyping, following best practices.
• Strong problem‑solving abilities and a collaborative mindset.
• Desirable experience in one or more of the following:
• Extensive deep learning research with impactful first‑author publications at top‑tier venues such as NeurIPS, ICML, ICLR and CVPR.

Keywords

Senior Deep Learning Researcher / Deep Learning Researcher / Machine Learning Researcher / AI Research / Deep Learning / Machine Learning / Model Efficiency / On-Device AI / Edge AI / Inference Efficiency / LLMs / LVMs / Foundation Models / Model Quantisation / Model Compression / Efficient Data Types / Conditional Compute / Inference-Time Compute / Hardware Accelerators / Neural Networks / Python / PyTorch / JAX / Computer Vision / Research Prototyping / NeurIPS / ICML / ICLR / CVPR / Mobile / Robotics / AR/VR / Automated Vehicles

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