Senior Machine Learning Engineer, Neuro-Symbolic AI Labs

Amazon is hiring a Senior Machine Learning Engineer, Neuro-Symbolic AI Labs in Boston, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this machine learning engineer role: the job is building AI systems.
Tools and skills the posting cites include Proof Assistants, machine learning and neuro symbolic AI.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build super-intelligent neuro-symbolic AI systems leveraging proof assistants for reasoning and learning in a dedicated research lab.

Proof Assistants

machine-learningneuro-symbolic-aisoftware-developmentresearch

We are looking for Machine Learning Engineers (MLE) who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.

As a Senior MLE, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:

- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.

About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, CMU).

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

Preferred qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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, MA, Boston - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Machine Learning Engineer, Neuro-Symbolic AI Labs 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

Senior Machine Learning Engineer, Neuro-Symbolic AI Labs is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $168k-$227k a year.
The role is based in US, MA, Boston.
The job was posted on August 17, 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

Machine learningNeuro Symbolic AISoftware DevelopmentResearchProof Assistants

Also common in machine learning engineer jobs at this level

Python PyTorch LLM TensorFlow Deep learning AWS

Pay

This job starts at: $168k
Typical machine learning engineer job: $197k

This posting starts 15% below the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where neuro symbolic ai was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where research was part of your work. What did you do?
Walk me through how you've used Proof Assistants in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Neuro Symbolic AI, Software Development, Research, and Proof Assistants. 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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