Senior Deep Learning Researcher – Model Efficiency

Senior Deep Learning Researcher – Model Efficiency

Amsterdam 85500 - 104500 € / jaar (geschat) Op locatie
E

In één oogopslag

  • Taken: Voer onderzoek uit en ontwikkel innovatieve deep learning-modellen voor optimale efficiëntie.
  • Bedrijf: Multinationale halfgeleiderbedrijf in Amsterdam met een focus op toekomstgericht onderzoek.
  • Voordelen: Competitief salaris, flexibele werkuren en de kans om impact te maken op miljoenen apparaten.
  • Overige informatie: Dynamische omgeving met mogelijkheden voor publicatie en samenwerking met de academische gemeenschap.
  • Waarom deze baan: Werk aan baanbrekende AI-technologieën en zie je ideeën werkelijkheid worden.
  • Kwalificaties: PhD in relevante vakgebieden en ervaring met deep learning en machine learning.

Het verwachte salaris ligt tussen 85500 - 104500 € per jaar.

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: Ph D 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 Py Torch 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 nh@eu-recruit. com.

By applying to this role you understand that we may collect your personal data and store and process it on our systems.

For more information please see our Privacy Notice (https://eu-recruit. com/about‐us/privacy‐notice/).

#J-18808-Ljbffr

Senior Deep Learning Researcher – Model Efficiency werkgever: European Tech Recruit

Als System Validation Engineer bij ons innovatieve technologiebedrijf krijg je de kans om te werken aan geavanceerde embedded communicatiesystemen in een dynamische en collaboratieve omgeving. We bieden uitstekende groeimogelijkheden, een cultuur van continue verbetering en de mogelijkheid om je vaardigheden in hardware/software-integratie en validatie verder te ontwikkelen. Bovendien ligt ons kantoor in een bruisende regio, wat zorgt voor een inspirerende werkomgeving met toegang tot diverse netwerkmogelijkheden.

E

Contactgegevens:

Recruitmentteam van European Tech Recruit

Wij denken dat je deze vaardigheden nodig hebt om als Senior Deep Learning Researcher – Model Efficiency te schitteren

Deep Learning
Model Efficiency
Model Quantization
Model Compression
Efficient Data Types
Conditional Compute
Inference Time Compute