Remote Work: Hybrid
Overview:
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 II 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:
- Kennesaw, GA
- Chicago, IL
- Bentonville, AR
- Lincolnshire, IL
- Holtsville, NY
- Austin, TX
- Mississagua, Ontario CANADA
This posting is for an existing vacancy at Zebra Technologies.
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
Qualifications:
Minimum Qualifications:
- Bachelor’s, Master’s, or Ph.D in computer science computer engineering or related field, mathematics, statistics
- Minimum 2 years' experience in data science, machine learning, or software engineering required
Preferred Qualifications:
- 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 research complex problems
- Knowledge of programming techniques and languages (e.g., Python, PySpark)
- Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensinality reduction, suprivisd and unsupervised techniques, Baysian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, Spark MLlib)
- Prior experience with machine learning packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch)
- Experience with time series forecasting
- Retail and CPG industry experience desired
- Experience using cloud computing (e.g. Azure, AWS, Google Cloud Platform)
- Familiarity with large-scale data processing frameworks (e.g. Apache Spark) and workflow orchestration tools (e.g., MLFlow, Argo)
- Solid understanding of data structures, object-oriented software design, and architecture
Salary: CAD $101,040 - CAD $151,040 yearly
Zebra is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability, protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Know Your Rights:
https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf
Conozca sus Derechos:
https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Zebra is a federal contractor and is committed to an alcohol and drug free workplace. As a result, all U.S. based employees are subject to the Drug and Alcohol Free Workplace Policy and Procedure.
Zebra Technologies is committed to ensuring equal access and participation for people with disabilities. We are committed to treating people with disabilities in a way that allows them to maintain their dignity and independence. We are also committed to giving people with disabilities the same opportunity to access our services and allowing them to benefit from the same services, in the same place and in a similar way as other clients. We will do so by removing and preventing barriers to accessibility and meeting our accessibility requirements under the Accessibility for Ontarians with Disabilities Act and Ontario’s accessibility laws. In keeping with these commitments, for any applicant, employee or customer that needs accessibility assistance, kindly direct all inquiries to workplace.acc@zebra.com .
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.
Salary: USD 106800.00 - USD 160200.00 Yearly
Salary offered will vary depending on your location, job-related skills, knowledge, and experience.
Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.
To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.
Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our
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