Machine Learning Researcher

Sentiro Partners - the home of Augmented Era talent has been retained to appoint Machine Learning Researchers at mid and senior level who'll work on Foundational Model Development in one of the world's most prominent tech. focused organizations.

Join a team where scale, ambition, and talent converge. We’re assembling a group of the world’s brightest researchers to build next-generation foundation models — the kind that redefine what’s possible in AI. You'll bring your expertise in pre training and unrelenting passion to solve big, BIG problems.

You’ll be led by one of the industry’s most revered minds in machine learning, a pioneer whose work has shaped the field. This is your opportunity to work shoulder-to-shoulder with exceptional peers — people who live and breathe large-scale learning systems, who thrive on pushing boundaries, and who understand that foundational breakthroughs happen together, not remotely.

What You’ll Do

• Research, design, and pre-train large-scale models on massive multimodal datasets
• Advance the science of self-supervised and generative learning
• Collaborate on novel architectures, optimization methods, and scaling strategies
• Publish, share, and contribute to a high-output, research-driven environment

What You Bring

• PhD in Computer Science, Machine Learning, or related field
• Deep experience in training and scaling large models (LLMs, diffusion, or multimodal systems)
• Proven work with high-performance computing and distributed training
• Strong research record — publications in NeurIPS, ICML, ICLR, CVPR, or equivalent
• Desire to work onsite among exceptional peers in a deeply collaborative lab setting

Why Join

• Lead-edge resources, compute, and data access
• A culture built for intellectual audacity and technical excellence
• Global relocation and top-tier compensation — designed for the top 5% of the field
• Direct mentorship and collaboration with a pioneer in machine learning

If your ambition is to push the limits of intelligence itself — to work where research becomes impact — this is where you belong.