AMI Engineer
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- Not specified
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
9 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
We are building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, and (4) are controllable and safe.
We are a team of scientists and engineers building frontier world model-based AI. We combine the scientific rigor of a top-tier research institute with focus on engineering excellence and execution.
We are a global company, with offices in Paris, Montreal, New York, and Singapore. Come build the future of AI with us!
About this RoleAMI believes AI agents should predict and plan using an internal model of the world — their world model. We’re looking for new team members to advance the state-of-the-art in world modeling. We believe that video is a rich and abundant source of data reflecting how the world works, and that in general models need to be able to process continuous, high-dimensional data from a variety of sensors to: (a) understand context about the current state of the physical world, (b) make predictions about how the world will evolve, possibly as a result of actions taken, and (c) plan and adapt sequences of actions to complete complex tasks, possibly in dynamic, complex environments.
You will work with a team of scientists and engineers, including:
Implementing and optimizing robust and scalable self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals
Develop and scale new architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals, focusing on performance and efficiency
Scalable infrastructure and algorithms for pre-processing and curating video data
Efficient algorithms for model-based planning and reasoning
Minimum Qualifications:
Bachelor’s degree or equivalent experience in Computer Science or a related field
Proficiency in Python
Ability to design, run, and analyze experiments independently
Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments
Preferred Qualifications:
Strong track record of building and deploying high-performance ML models
Experience developing, testing, and maintaining large-scale distributed systems
Experience releasing and maintaining open-source projects
Proficiency in a deep learning framework (PyTorch or JAX), especially for distributed training and efficient inference
Matched by role category. Review each posting’s requirements before applying.