Artificial Intelligence Scientist
About The Position
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about – locally and globally. Come make an impact every day at Zebra. Come join our Product Development team as an Artificial Intelligence Scientist and do more than just research—build AI products that are optimized for speed, reliability and scale using PySpark and Python. You'll be at the heart of a team that ships production-ready AI, taking on the unique exciting challenge of blending machine learning, software development, and MLOps. This role is a hybrid position and requires a minimum of 3 days a week in one of the Zebra locations listed below: -Mississagua, Ontario CANADA -Lincolnshire, IL -Holtsville, NY -Austin, TX -Chicago, IL -Kennesaw, GA -Bentonville, AR This posting is for an existing vacancy at Zebra Technologies.
Requirements
- Bachelor’s, Master’s, or Ph.D in computer science computer engineering or related field, mathematics, statistics REQUIRED
- Minimum 2 years' experience in data science, machine learning, or software engineering REQUIRED
- Experienced in Python, PySpark and Apache Spark framework REQUIRED
- Hands-on experience with ML libraries and tools (scikit-learn, TensorFlow, Keras, PyTorch, MLflow) REQUIRED
- Solid software engineering fundamentals (data structures, OOP, system design) REQUIRED
- Strong background in machine learning, MLOPs and deep learning methods, with a focus on time series analysis and forecasting REQUIRED
Nice To Haves
- Experience in supply chain and/or retail/retail analytics/optimization strongly preferred
- Retail and CPG industry experience desired
- Experience with time series forecasting desired
- Ability to be agile and thrive in a fast paced environment
- Ability to work independently and take initiative, but also a co-operatvie team player
- Highly skilled problem solver
- Has the ability and enjoyes independently researching complex problems
- Experience using cloud computing (e.g. Azure, AWS, Google Cloud Platform)
Responsibilities
- Supports the development of new ML techniques and algorithms through data analysis and proofof-concepts
- Develops production level machine learning software using PySpark and Python
- Converts proof-of-concepts and feature requests into production ready code.
- Optimizes and transform existing software for speed, reliability, and scale.
- Integrates state-of-the-art machine learning algorithms as well as the development of new methods
- Collaborates cross-functionally with data scientists, data engineers, product managers, and other stakeholders to identify gaps and issues in the AI product suite and propose solutions
- Participates in all phases of the software development lifecycle including design, coding, unit testing, and documentation for both new and existing pieces of software.
- Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conferences for employees to attend, publish paper and patent disclosures
Benefits
- Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent.
- We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings.
- We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
