Applied Scientist III - Amazon Identity Program, Amazon Identity Program (AIP)

Amazon is hiring an Applied Scientist III - Amazon Identity Program, Amazon Identity Program (AIP) in New York, United States. It pays $184k-$249k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
The listed pay starts 10% above the typical applied scientist posting on Level.
Tools and skills the posting cites include TensorFlow and scikit-learn.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

TensorFlowscikit-learn

Advertising identity is one of the most challenging problems in modern machine learning. Amazon Advertising is looking for an Applied Scientist III to help solve it at global scale, applying advanced AI, graph neural networks, and probabilistic modeling to connect billions of identity signals across devices, publishers, and the open internet.

The Amazon Advertising Identity Platform (AIP) powers how advertisers recognize, reach, and measure audiences across the advertising ecosystem. As traditional identity signals become less available and consumer behavior spans an increasing number of devices and environments, we are investing in new scientific approaches to build a more accurate, scalable, and privacy conscious identity graph.

As a senior scientific leader, you will develop novel approaches to probabilistic identity resolution, graph neural networks (GNNs), representation learning, and large scale entity matching. You will combine deterministic identity signals from Amazon's owned and operated properties with signals from publishers, agencies, and third party identity providers to build accurate identity models across increasingly fragmented digital environments.

You will define scientific direction, design and evaluate new models, and partner closely with engineering and product teams to bring research into production. Your work will directly influence advertising addressability, audience reach, campaign measurement, and billions of dollars in advertising revenue.

The ideal candidate has deep expertise in applied machine learning, graph algorithms, and probabilistic modeling, with a demonstrated ability to translate scientific research into production systems. You should be comfortable operating in ambiguous problem spaces, challenging existing approaches, mentoring scientists, and influencing technical strategy across organizations.

This role offers the opportunity to shape the future of identity resolution at Amazon, advance the state of the art in applied machine learning, and deliver scientific innovations with measurable impact across the global advertising industry.

Basic qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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 - 183,800.00 - 248,700.00 USD annually

How we rate this

Applied Scientist III - Amazon Identity Program, Amazon Identity Program (AIP) at Amazon rates 89 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

Applied Scientist III - Amazon Identity Program, Amazon Identity Program (AIP) is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $184k-$249k a year.
The role is based in US, NY, New York.
The job was posted on November 11, 2026.
Seniority: mid.
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

TensorFlowscikit-learn

Also common in applied scientist jobs at this level

Deep learning LLM Generative AI NLP Reinforcement learning Computer vision

Pay

This job starts at: $184k
Typical applied scientist job: $167k

This posting starts 10% above the typical applied scientist job. See applied scientist jobs

Questions you could be asked

What's a project where you used TensorFlow hands-on?
Walk me through how you've used scikit-learn in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: TensorFlow and scikit-learn. 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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