Senior Deep Learning Researcher – Model Efficiency

Senior Deep Learning Researcher – Model Efficiency
Job Summary:
We are seeking a talented Senior Deep Learning Researcher to join our team. The ideal candidate will have a background in deep learning with proven academic and/or industrial research experience, and a passion for pushing the boundaries of AI technology. You will have the opportunity to work on cutting-edge projects as part of our Amsterdam-based research teams. We are currently looking for candidates to join our Model Efficiency team.
Model Efficiency:
The team’s mission is to do research that pushes the frontier of on-device efficiency. We 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.
Key Responsibilities:

• You conduct research and develop and quickly iterate on innovative deep learning-based models and algorithms. You 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, you create scientific as well as business impact, helping us develop impactful breakthroughs in AI Research. You engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles.
• You stay up to date with the latest advancements in AI and machine learning. You publish novel research findings in top-tier conferences and journals and engage with the academic community.

Requirements:

• You have a PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
• You have proven experience in deep learning and machine learning research, including hands-on experience developing and optimizing models, and are comfortable with all aspects of the research cycle.
• You have programming experience in Python and hands-on experience with standard deep learning toolkits such as PyTorch or Jax. You write clean and maintainable code for research and advanced prototyping and follow best practices.
• You have strong problem-solving abilities and a collaborative mindse

Senior Deep Learning Researcher – Model Efficiency
Job Summary:
We are seeking a talented Senior Deep Learning Researcher to join our team. The ideal candidate will have a background in deep learning with proven academic and/or industrial research experience, and a passion for pushing the boundaries of AI technology. You will have the opportunity to work on cutting-edge projects as part of our Amsterdam-based research teams. We are currently looking for candidates to join our Model Efficiency team.
Model Efficiency:
The team’s mission is to do research that pushes the frontier of on-device efficiency. We 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.
Key Responsibilities:

• You conduct research and develop and quickly iterate on innovative deep learning-based models and algorithms. You 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, you create scientific as well as business impact, helping us develop impactful breakthroughs in AI Research. You engage with other teams to see your ideas deployed on millions of devices, such as mobile phones, AR/VR headsets, or autonomous vehicles.
• You stay up to date with the latest advancements in AI and machine learning. You publish novel research findings in top-tier conferences and journals and engage with the academic community.

Requirements:

• You have a PhD in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.
• You have proven experience in deep learning and machine learning research, including hands-on experience developing and optimizing models, and are comfortable with all aspects of the research cycle.
• You have programming experience in Python and hands-on experience with standard deep learning toolkits such as PyTorch or Jax. You write clean and maintainable code for research and advanced prototyping and follow best practices.
• You have strong problem-solving abilities and a collaborative mindse