Sr. Applied Scientist - Machine Learning, Amazon Transportation

Socket.dev; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

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

You will design, develop, and productionize forecasting, predictive models, and optimization algorithms impacting billions in business value. You’ll own prediction models for trailer imbalance forecasting and safety stock optimization, collaborating with product, engineering, and operations teams.

Qualifications

• 5+ years of building ML models or algorithms for business applications.
• PhD or Master’s with 10+ years of research/industry experience as described.
• Proficiency with C/C++, Python, Java or Perl.

Responsibilities

• Design and develop machine learning, forecasting, and other prediction models.
• Build models from prototype to production-level systems.
• Translate business problems into modeling approaches with product/engineering partners.
• Influence key business decisions through rigorous modeling and analysis.
• Communicate results to scientific and business audiences.

Skills

Machine learning

Data analysis

Mathematical modeling

Communication

Education

PhD in engineering/CS/ML/robotics/OR

Master's + 10+ years experience

Tools

C/C++

Python

Java

Perl

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon's Middle Mile Surface Research Science seeks a Sr. 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 a Sr. Applied Scientist, you'll develop machine learning, forecasting, and prediction models and algorithms. Your first project will focus on trailer imbalance forecasting and safety stock optimization to improve our equipment re-balancing strategy, where you'll own the prediction models and grow your scope over time. 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

• 5+ years of building machine learning models or developing algorithms for business application experience
• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• Experience with neural deep learning methods and machine learning

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.

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 - 167,100.00 - 226,100.00 USD annually