Lead Machine Learning Engineer

Disney Seattle, WA 2018-05-09
“It takes people to make the dream a reality.” Walt was onto something when he said that, and it continues to ring true today. Walt Disney Attraction Technology is an electrifying place to utilize your skills and experience and be a part of a team that infuses innovation into everyday guest interactions. This is the place where you get to create “Surprise and Delight” experiences for our guests as well take our operational efficiency to its unrealized potential by using data and cutting-edge tools. As a Lead ML Engineer, you will be a driving force for building capabilities and services for the Machine Learning program across Walt Disney Parks and Resorts.
M.S. degree in Statistics, Mathematics, Data Science or related field
To be successful you will need: Mastery in at least one high-level programming language such as Python, Java, or Scala (7+ years) Mastery in SQL and experience with relational, analytical, in-memory, and NoSQL databases (7+ years) Working experience with big data tools such as Hadoop/YARN, Spark, Kafka, Hive, Presto (5+ years) Experience with cloud platforms such as AWS, Google Cloud, Azure Expert level experience with ML platforms: TensorFlow, Rekognition, etc Expert level experience delivering production-level online machine learning models leveraging large data sets that have led to significant growth or performance improvements Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over large datasets Capability to educate the organization both from technical and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results Experience in leading discovery processes with stakeholders to identify the business requirements and the expected outcome Passionate about data, technology, and challenging the status quo Proven experience providing technical mentorship to junior team members Comfortable working in a team environment using Agile methodologies Strong communication, interpersonal skills and fortitude to get stuff done Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, fairness and aptitude for original research Comfortable with both technical and business responsibilities, you will be working with engineers, data scientists and business masterminds to build products and solve complex problems
You will: Engage with research and business stakeholders and help drive AI/ML strategies and identify areas where business problems that can be solved in creative ways utilizing data and the power of algorythms Lead and work with other engineers and data scientists to implement and efficiently scale machine learning models that are used to create magical experiences for our guests and push the boundaries of operational goals Oversee operational support and maintenance of products and services delivered by the AI/ML team Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects in machine learning space Design and apply machine learning algorithms in image recognition, NLP, and anomaly detection space and evaluate their performance on real-world data sets Translate generated algorithms into production-level code Collaborate with various teams to achieve objectives in improving system performance Integrate with existing software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review 553452