Advanced Machine Intelligence

Real World. Real Intelligence.

Advanced Machine Intelligence (AMI Labs) is a frontier AI research lab co-founded by Turing Award winner Yann LeCun and serial entrepreneur Alexandre LeBrun. Unlike companies focusing solely on large language models, AMI is dedicated to developing "world models"—AI systems that learn abstract representations of real-world continuous sensor data, possess persistent memory, and can reason and plan safely. Operating across Paris, New York, Montreal, and Singapore from day one, the company recently secured a massive $1.03 billion seed round at a $3.5 billion valuation to push the boundaries of AI reliability and controllability.

A Culture of Fundamental Research

AMI Labs operates at the bleeding edge of artificial intelligence, blending the academic rigor of a university research lab with the agility and resources of a top-tier startup. The culture is deeply rooted in fundamental research rather than immediate product commercialization. With a globally distinguished team of scientists and engineers, including Meta's former VP for Europe Laurent Solly and high-profile researchers like Saining Xie and Pascale Fung, the environment is highly intellectual and collaborative. The team shares a core belief: real intelligence does not start in language; it starts in the physical world.

What You'll Actually Do

As a researcher or engineer at AMI, you will be tackling some of the hardest unsolved problems in AI. Instead of tweaking generative transformers, you will likely work on Joint Embedding Predictive Architectures (JEPA) and action-conditioned world models. The day-to-day involves processing high-dimensional, noisy sensor data, developing models that can ignore unpredictable details, and creating systems that make predictions in representation space. Whether you are a Research Scientist focusing on theoretical breakthroughs or a Machine Learning Engineer scaling these models across distributed compute clusters, your work will directly contribute to building agentic systems for industrial automation, robotics, and healthcare.

Compensation & Benefits

Publicly available compensation data for AMI Labs is currently limited, which is typical for early-stage stealth or recently unveiled startups. However, given their unprecedented $1.03 billion seed funding and $3.5 billion valuation, the company is exceptionally well-capitalized to compete for top-tier global AI talent. Employees can likely expect highly competitive base salaries, substantial equity packages with massive upside potential, and top-tier benefits commensurate with elite tech companies in Paris, New York, and Montreal.

The Interview Process

Specific details about the interview process at AMI Labs are not widely public yet. Given the heavy emphasis on fundamental research and the elite caliber of the founding team, candidates should anticipate a rigorous, highly technical evaluation process. For research roles, expect deep-dive discussions on your past publications, machine learning theory, and novel architectures beyond standard LLMs. For engineering roles, expect challenging system design and coding rounds focused on performance, scalability, and handling complex data pipelines.

Why Join / Why Not

Why Join: If you believe that the future of AI lies beyond text prediction and want to build systems that truly understand physical reality, AMI is the place to be. You will work alongside legendary AI pioneers like Yann LeCun and have access to massive compute resources thanks to their billion-dollar war chest. It is a rare opportunity to do foundational research with the potential to revolutionize robotics, healthcare, and industrial automation.

Why Not: AMI is a very ambitious project focused on fundamental research, meaning it could take years to go from theory to commercial applications. If you prefer working on applied AI products with immediate user feedback and rapid release cycles, this might not be the right fit. Additionally, the pressure to deliver breakthroughs in a highly scrutinized, well-funded environment will be immense.