Artificial Intelligence Scientist, II (Remote)

Remote Work: Yes

The Artificial Intelligence Scientist on the product development team develops our AI suite of products. This team is responsible for building production ready AI products that are optimized for speed, reliability, and scale using PySpark and Python. This role is a combination of machine learning, software development and machine learning engineering.

This is a remote position, but must be able to work Central Time or Eastern Time hours.

Responsibilities:

• Support the development of new ML techniques and algorithms through data analysis and proof of-concepts
• Develop production level machine learning software using PySpark and Python
• Convert proof-of-concepts and feature requests into production ready code.
• Optimize and transform existing software for speed, reliability, and scale.
• Integrate state-of-the-art machine learning algorithms as well as the development of new
  methods
• Collaborate 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
• Participate 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, publish papers and patent disclosures.

Note: The statements herein are intended to describe the general nature and level of work being
performed by employees and are not to be construed as an exhaustive list of responsibilities, duties,
abilities, and skills required of personnel so classified.

Qualifications:

Required:

• Bachelor’s, master’s or PhD in computer science, computer engineering, electrical engineering, statistics, operations research, applied mathematics or a related field with 2+ years’ experience in data science, machine learning, or software engineering required.
• Expertise in statistical programming and data analysis using languages like Python and PySpark , with a strong understanding of software engineering principles.
• Experience with frameworks such as TensorFlow, PyTorch, Keras, and other deep learning libraries.

Preferred:

• Experience with time-series forecasting, predictive analytics and/or signal processing.
• Industry experience in retail and consumer packaged goods (CPG) is advantageous.
• Strong understanding of statistical methods, probability theory, linear algebra, optimization techniques, and numerical analysis.
• Ability to apply advanced statistical models and methods to real-world problems.
• Expertise in data manipulation, cleaning, and preprocessing techniques for large datasets.
• Expertise in evaluating and validating machine learning models, including metrics for performance assessment, cross-validation, and robustness testing.
• Ability to conduct rigorous model validation and interpret results in the context of business or research objectives.
• Proficiency in machine learning and deep learning concepts and techniques.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, Keras, and PyTorch.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), as well as knowledge of cloud-based tools for data storage, processing, and model management.
• Strong skills in collaborating with cross-functional teams, including data engineers, software developers, and business stakeholders.
• Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including through presentations, reports, and documentation.
• Ability to work independently and take initiative, but also a co-operative team player.

Come join the herd!

Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability and 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 [email protected].

Know Your Rights:

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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.

To all recruitment agencies: Zebra does not accept agency resumes. Please do not forward resumes to Zebra employees or any other team members. Zebra is not responsible for any fees related to unsolicited resumes and direct engagement with Zebra employees.

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 104400.00 – USD 156600.00 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.