Applied Scientist - Machine Learning, Amazon Transportation
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $142,800 to $193,200
Employer-published annual base salary, USD. Advertised base range in Bellevue, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationBellevue, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Amazon's Middle Mile Surface Research Science seeks an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network.
Amazon's transportation network moves millions of truckloads of freight between vendors, warehouses, and customers using a fleet of trucks, trains, and airplanes, on time and at low cost. Operating it requires constant decisions about how to route, schedule, and balance capacity across the network, and our strategy is to make those decisions with science-driven technology. Because existing techniques rarely fit Amazon's scale and unique business needs, this role centers on inventing new approaches and algorithms.
As an Applied Scientist, you'll develop machine learning, forecasting, and prediction models and algorithms. You role will initially develop transit time prediction and uncertainty models. Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers.
Key job responsibilities
- Design and develop machine learning, forecasting, and other prediction models that enhance our optimization and planning systems.
- Build models and algorithms from prototype to production-level systems.
- Translate ambiguous business problems into modeling approaches, and drive the technical design with product, engineering, and operations partners.
- Influence key business decisions through rigorous modeling and analysis.
- Communicate results and recommendations to scientific and business audiences.
A day in the life
- Analyze data to investigate a business problem or model performance and identify improvements
- Brainstorm new algorithmic strategies or business opportunities with fellow scientists
- Leverage GenAI to build and test your new model features
- Run a simulation or experiment to evaluate your model’s performance
- Meet with product and tech partners to review project requirements, data, design, or other project decisions
- Review code changes or a design document from a fellow scientist or engineers
- Write and present a paper documenting algorithm features, results, and recommendations
About the team
Middle Mile Surface Research Science builds the models and algorithms that plan and operate Amazon's middle mile network. Our work spans operations research, optimization, and machine learning. We work on vehicle route planning, capacity planning, scheduling, network design, transit-time prediction, demand forecasting, and equipment re-balancing. Our team of about ten scientists is part of a broader science organization whose scientists bring deep expertise in machine learning and optimization. We optimize decisions worth billions of dollars and reach millions of customers.
Basic Qualifications
- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- Experience building machine learning models or developing algorithms for business application
- 1+ years of programming in Java, C++, Python or related language experience
- Experience in standard machine-learning and statistical modeling tools and techniques (e.g. random forests, gradient-boosted regression, LASSO, logistic regression)
Preferred Qualifications
- Experience in professional software development
- Experience with forecasting and statistical analysis
- Experience in mathematics such as linear programming or nonlinear optimization
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, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($142,800) is above 27% of the 329 Data & ML roles in Washington listed on this site; 70 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,100.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingApplied Scientist - Machine Learning, Amazon Transportation$142,800 to $193,200
Customer Insights Lead, Global Logistics Domestic First Mile$142,800 to $193,200
Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing$142,800 to $193,200
Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML$142,800 to $193,200
Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance$142,800 to $193,200
Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods$142,800 to $193,200
Applied Scientist, AWS Payments and Fraud Prevention$142,800 to $193,200
Chart as a table
| Role | Published base |
|---|---|
| Applied Scientist - Machine Learning, Amazon Transportation (this listing) | $142,800 - $193,200 |
| Customer Insights Lead, Global Logistics Domestic First Mile | $142,800 - $193,200 |
| Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing | $142,800 - $193,200 |
| Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML | $142,800 - $193,200 |
| Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance | $142,800 - $193,200 |
| Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods | $142,800 - $193,200 |
| Applied Scientist, AWS Payments and Fraud Prevention | $142,800 - $193,200 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-07
Where this pay comes from
Location as the employer wrote it: US, WA, Bellevue
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.