Senior AI Researcher: Vision & Language, Robust ML

Obsidian; Greater London; Remote; GBP 75,000 - 120,000; Full time

Job summary

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, and LLM post-training with behavioral alignment, requiring 3+ years of

Qualifications

• 3+ years of machine learning research experience (PhD research counts toward this requirement).
• Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks.
• Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful open-source contributions.

Responsibilities

• Train and improve deep learning models end-to-end for vision and language tasks.
• Advance robustness to adversarial inputs and conversations.
• Compress models to meet size and latency constraints without sacrificing accuracy.
• Diagnose and resolve training issues.

Skills

Adversarial Robustness

Efficient Computer Vision

Generative Image Modeling

LLM Post-Training & Behavioral Robust

Multilingual Pre-training

Education

Top-100 university degree or FAANG experience

Job description

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, and LLM post-training with behavioral alignment, requiring 3+ years of