Toyota Connected

  • Machine Learning Engineer

    Job Locations US-TX-Plano
    Posted Date 2 weeks ago(7/3/2018 2:43 PM)
    # of Openings
    Technology Development

    The Toyota Connected Innovation team is looking for a Machine Learning (ML) Engineer who is well-versed in Machine Learning to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly-energized, fast-paced, innovative, and collaborative startup environment.




    • Design and develop solutions using Machine Learning and other advanced AI technologies to solve a variety of problems
    • Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations
    • Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users
    • Be hands-on where required and lead by following best practices in development and CI/CD methods
    • Own delivery of features from top to bottom, from concept to code to production
    • Develop tools and libraries that will enable rapid and scalable development in the future




    • You are smart and can demonstrate it
    • 4+ years of experience in software development for high-tech products or services
    • 2+ years of hands-on experience delivering products or solutions that utilized Machine Learning, Natural Language Processing or other forms of AI solutions like machine vision
    • Highly skilled in Python and preferably in one or more programming languages like C++, Java, Go, etc
    • Strong hands-on experience in one or more of the Machine Learning tools like TensorFlow, Keras, Theano, or Caffe and have solved several real-life problems using these
    • Experience in one or more NLP libraries (i.e. spaCy, NLTK, etc) is a plus
    • Experience with handling Big Data (Spark, HBase, Kafka, etc) is a plus
    • You are confident in expressing your point of view from a position of knowledge and experience. You are also receptive to feedback and open to revising your plans when appropriate
    • We think the knowledge acquired earning a degree Computer Science would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time



    We offer:

    • Money (We pay well and we reward excellence)
    • An environment of A-players. We're careful about who we hire because we find that people who are at the top of their field like working around others who know what they're doing
    • Freedom to work with modern technologies in a greenfield environment. We care that you get your work done, but you will get to help decide on how we can leverage modern technologies to solve our challenges
    • Unlimited time off. No one is tracking your time here. You'll be treated like the professional we know you are and left to manage your own time and work load
    • Four months of parental leave. We want new moms and dads to have an opportunity to tend to their new or growing family
    • Nice perks like 401(k) with generous company match, gym memberships, Toyota vehicle discounts, game rooms, free food, team activities and happy hours


    Who is Toyota Connected?


    Toyota Connected is a new company created to bring big data and cloud intelligence into all aspects of the mobility experience so that driving a Toyota or Lexus is more personal, intuitive and safe.  We create and enable technologies that delight and simplify the lives of those who use our products and empower them to think of, and use their vehicle in completely new ways.


    Toyota Connected is proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.




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