Amazon

Applied Scientist - Machine Learning, Amazon Transportation

Amazon$142K — $193K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree with 4+ years of experience in related fields
  • Proven track record in building machine learning models for business
  • 1+ years of programming experience in Java, C++, Python or similar
  • Familiarity with machine learning techniques such as random forests and logistic regression
  • Experience in professional software development preferred

Responsibilities

  • Design machine learning and forecasting models to enhance optimization and planning systems
  • Build and transition models from prototype to production-level systems
  • Translate complex business problems into effective modeling strategies
  • Drive impactful business decisions through data-driven modeling
  • Communicate findings and insights to both scientific and business stakeholders

Benefits

  • Comprehensive health insurance including medical, dental, and vision
  • 401(k) matching for retirement savings
  • Paid time off and parental leave policies
  • Flexible spending accounts and mental health support
  • Adoption and surrogacy reimbursement coverage
Full Job Description
Applied Scientist - Machine Learning, Amazon Transportation
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

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

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
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