• Software Development Engineer II - Transportation Optimization

    Company/Location (search) CA-BC-Vancouver
    Posted Date 1 week ago(1/11/2019 7:05 AM)
    Job ID
    741992
    # Positions
    1
    Position Category for Posting
    Software Development
    Company/Location (search) : Country (Full Name)
    Canada
  • Job Description

    Who are we?

    It’s no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. We, the Transportation Technology division, build the complex software solutions that are needed to work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. That said, this is a multi-billion-dollar business, and our technical journey has only started. We are looking to build brand new systems that use our vast collection of data to optimize the delivery algorithms – and make a big impact on Amazon’s business costs. If you find this space interesting, Transportation Volume Planning (TVP) team might be the right fit for you. Read on…

    What do we do?

    The first step in ensuring we can figure out an optimal solution to ship all our packages is knowing the data for the problem well in advance. Yes - forecasting! Our team’s vision is to build systems that analyze forecast how many packages will flow through the entire Amazon transportation network – from our vendors into our warehouses, out of our warehouses to our customers, between our warehouses. Constantly measuring & ensuring the accuracy of forecast is also critical given the whole transportation plan (and thus billions of dollars of expense) are impacted by this crucial piece of data. This is easier said than done. From figuring out how to collect the right data from various systems, to designing systems on how to quickly process this data, to developing machine-learning algorithms to use this data - and a multitude of other factors - into predicting what the future demand will look like, to constantly measuring & improving the accuracy of our algorithms … well, you get the idea … it is a tough nut to crack. And that’s why we are building new systems to solve this, and need smart and passionate engineers such as you to join in the effort

    What will you do?

    As a Software Engineer, you will be responsible for all aspects for product development. You will not only focus on design & coding of new algorithms, but you will also define the strategic direction for Transportation Forecasting systems. The system is being built ground up, so we are not tied to any one technology. You will choose the right technology for the foundation. You will also work with distributed machine learning and statistical algorithms across multiple platforms including AWS. A big business impact will be for you, and the team, to create new forecasting & optimization models to reduce the overall transportation cost. Finally, this being a new team, you will have lots of opportunities to help build & strengthen the team via mentoring, hiring & training.

    Basic Qualifications

    • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field
    • At least 2 years' of related work experience
    • Experience implementing algorithms, tailored to particular business needs and tested on large data sets
    • Excellent communication skills with both technical and non-technical audiences.

    Preferred Qualifications

    • Master's degree and relevant work experience.
    • Strong demonstrated skills implementing and deploying large scale machine learning applications and tools.
    • Strong skills and experience with programming in Hadoop, Big Data, SQL, Hive, Pig, R and familiarity/experience with AWS.


    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Comparte este empleo