Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)

Amazon is hiring an Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG) in Palo Alto, United States. It pays $172k-$222k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
Pay on this posting starts in line with the typical applied scientist posting on Level.
The posting mentions PyTorch among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

PyTorch

Help build Amazon's world-class advertising business by applying machine learning and generative AI to hard problems in campaign optimization. As an Applied Scientist, you'll take models from problem formulation to production, working closely with engineering and product partners to deliver measurable advertiser impact.
- Experience training or adapting large language models
- Experience with sequential decision-making or optimization under uncertainty
- Experience with causal inference or rigorous evaluation of ML systems
- Experience designing experiments and performing statistical analysis of results
- Experience with modern deep learning frameworks such as PyTorch

Key job responsibilities
- Lead end-to-end ML initiatives with high ambiguity, scale, and complexity, from problem framing through production deployment
- Develop models that improve advertiser outcomes on Amazon's advertising platform
- Design and execute experiments and statistical analyses to validate real-world impact
- Partner with engineering and product to ship science into customer-facing products responsibly
- Advance the state of the art by researching new techniques and applying them to advertising problems

About the team
You'll join a highly motivated, collaborative, and entrepreneurial team with a broad mandate to experiment, innovate, and break new ground. Your work will directly influence advertiser success and shape the future of Amazon Advertising.

Basic qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred qualifications

- Experience building machine learning models or developing algorithms for business application
- Experience in designing experiments and statistical analysis of results

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, NY, New York - 172,400.00 - 223,400.00 USD annually

How we rate this

Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG) 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, Amazon Ads, Forecasting, Insights and Guidance (FIG) is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $172k-$222k a year.
The role is based in US, CA, Palo Alto.
The job was posted on September 21, 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

PyTorch

Also common in applied scientist jobs at this level

NLP Reinforcement learning TensorFlow Spark AWS Computer vision

Pay

This job starts at: $172k
Typical applied scientist job: $169k

This posting starts close to the typical applied scientist job. See applied scientist jobs

Questions you could be asked

What's a project where you used PyTorch hands-on?
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: PyTorch. 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker