Applied Scientist - Machine Learning, Amazon Transportation

Amazon Inc.; Seattle (WA); Híbrido; USD 143 000 - 193 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Resumo da oferta

Amazon Transportation Bellevue is seeking an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network.

You will develop transit time prediction models and algorithms, push models from prototype to production, and collaborate with product, engineering, and operations teams to drive decisions with science-driven insights.

Qualificações

• PhD or Master’s degree with 4+ years of related experience.
• Experience building ML models for business applications.
• 1+ year programming in Java, C++, Python or related language.
• Experience with standard ML tools and techniques (e.g. random forests, gradient boosting, LASSO, logistic regression).

Responsabilidades

• Design and develop machine learning, forecasting, and prediction models to enhance optimization and planning systems.
• Build models and algorithms from prototype to production-level systems.
• Translate business problems into modeling approaches and drive 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.

Conhecimentos

PhD or MS+4 yrs experience

ML model development

Programming Java/C++/Python

ML tools and methods

Formação académica

PhD

Master's degree

Ferramentas

Java

C++

Python

Descrição da oferta de emprego

Applied Scientist - Machine Learning, Amazon Transportation

Job ID: 10496052 | Amazon.com Services LLC

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. Your 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.