Senior AI Researcher: Vision & Language, Robust ML

Senior AI Researcher: Vision & Language, Robust ML

Full-Time 72000 - 88000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Conduct cutting-edge research in AI, focusing on vision and language tasks.
  • Company: Join Obsidian, a leader in machine learning innovation.
  • Benefits: Attractive salary, flexible working conditions, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on robust and efficient AI solutions.
  • Why this job: Make a significant impact in AI by solving complex research challenges.
  • Qualifications: 3+ years of experience in machine learning and a passion for research.

The predicted salary is between 72000 - 88000 Β£ per year.

Obsidian is seeking experienced machine learning researchers to train and improve deep learning models end-to-end across vision and language tasks. You will tackle well-scoped open-ended ML research problems, balancing robustness, efficiency, and performance under limited data and compute budgets.

The role emphasizes:

  • Adversarial robustness
  • Efficient computer vision
  • Generative image modeling
  • Multilingual pre-training
  • LLM post-training with behavioral alignment

Requirements: 3+ years of experience.

Senior AI Researcher: Vision & Language, Robust ML 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 Senior AI Researcher: Vision & Language, Robust ML

Deep Learning
Machine Learning
Computer Vision
Generative Image Modelling
Multilingual Pre-training
LLM Post-training
Adversarial Robustness