ML Scientist: Adversarial Robustness & Efficient Vision

ML Scientist: Adversarial Robustness & Efficient Vision

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct cutting-edge ML research and improve deep learning models in vision and language.
  • Company: Obsidian, a leader in innovative machine learning solutions.
  • Benefits: Competitive compensation and a flexible, project-based work environment.
  • Other info: Dynamic research environment with opportunities for professional growth.
  • Why this job: Join a team tackling exciting ML challenges and make a real impact.
  • Qualifications: Experience in adversarial robustness and efficient computer vision required.

The predicted salary is between 63000 - 77000 £ per year.

Obsidian is seeking experienced machine learning researchers with hands-on experience training and improving end-to-end deep learning models across vision and language.

You will tackle well-scoped empirical open‑ended ML research problems.

We value expertise in adversarial robustness, efficient computer vision, generative image modeling, multilingual pre‑training, and responsible LLM fine‑tuning, with a flexible, project‑based environment and competitive compensation.

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ML Scientist: Adversarial Robustness & Efficient Vision employer: Obsidian

At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our ML Scientists to push the boundaries of machine learning research. Located in a vibrant tech hub, we offer competitive compensation, flexible project-based work, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the field of AI.

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Contact Details:

Obsidian Recruitment Team

We think you need these skills to ace ML Scientist: Adversarial Robustness & Efficient Vision

Machine Learning
Deep Learning
Adversarial Robustness
Computer Vision
Generative Image Modeling
Multilingual Pre-training
LLM Fine-tuning