ML Infrastructure Engineer, Fauna

Amazon is hiring an ML Infrastructure Engineer, Fauna in New York, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Isaac Lab, Mujoco and Nvidia Jetson.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build and maintain MLOps infrastructure and train neural network policies for robotic systems and edge devices.

Isaac LabMujocoNvidia JetsonPython

ml-opscomputer-visionreinforcement-learningsupervised-learningmlopsrobotics

We are seeking a Machine Learning Engineer to work directly alongside our research scientists to train, evaluate, and deploy the models that make our robots move, perceive, and act in the real world. This is a hands-on ML role: you will train policies, debug convergence, run experiments in simulation, and push models onto hardware — not just build the pipes around them.

You’ll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training infrastructure — managing GPU clusters, optimizing distributed training, and shipping models to edge devices — but the core of this role is getting in the loop with scientists and making models work.

Key job responsibilities
Train and iterate on neural network policies for locomotion, manipulation, navigation, and perception using reinforcement and supervised learning
Design and run experiments in simulation (Isaac Lab, MuJoCo, or similar) and transfer results to physical hardware
Debug training runs end-to-end: diagnosing convergence failures, reward shaping issues, data quality problems, and sim-to-real gaps
Optimize models for deployment on edge hardware (NVIDIA Jetson) with strict latency and memory constraints
Build and maintain MLOps infrastructure: experiment tracking, model versioning, evaluation pipelines, and reproducible training workflows

About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

Preferred qualifications

- Experience in robotics design, automation systems development, control systems design, or related product development
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
- Experience mentoring or training the engineering community on complex technical issues
- Track record of delivering developer-facing products with robust SDKs and fault-tolerant distributed systems.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 184,900.00 - 250,200.00 USD annually

How we rate this

ML Infrastructure Engineer, Fauna at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

ML Infrastructure Engineer, Fauna is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $185k-$250k a year.
The role is based in US, NY, New York.
The job was posted on May 15, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsComputer visionReinforcement learningSupervised LearningMLOpsRoboticsIsaac LabMujoco

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where reinforcement learning was part of your work. What did you do?
Tell me about a project where supervised learning was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, Computer vision, Reinforcement learning, Supervised Learning, and MLOps. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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