Machine Learning Engineer

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram.

Position Location: Austin, TX; may work from home office anywhere in the U.S.

What We’re Looking For

• Punchh, Inc., a subsidiary of PAR, seeks a Machine Learning Engineer
• Master’s in Computer Science, Software Engineering, or Electrical Engineering
• 18 months of experience as a Computer & Information Research Scientist, which must include at least 18 months of experience with each of the following:
• Python
• SQL
• Apache Spark
• AWS EMR
• Amazon S3
• Airflow
• Numpy
• Pandas
• Matplotlib
• Seaborn
• Scikit-Learn
• PySpark
• NLTK
• supervised learning
• statistical modeling
• recommendation systems
• time series forecasting
• natural language processing
• quantitative analysis
• personalization
• experimental design
• A/B testing
• hypothesis testing
• clustering
  

Unleash your potential: What you will be doing and owning:

• (30%) Collaborate with cross-functional teams including product, engineering, marketing, and customer success groups to build machine-learning based Punchh product technologies
• (20%) Build the prediction engine that powers Punchh’s centralized customer intelligence product. Own the entire ML development life cycle.
• (20%) Support Data and Machine Learning Team Infrastructure Building. Participate in the definition of Punchh ML infrastructure: whiteboarding, RnD new ideas, fix bugs
• (15%) Partner with internal teams to engage our business clients with continuous testing and training of new Punchh products. Participate, as a machine learning expert, in pre-sales and post-sales event, together with product and sales teams
• (10%) Act as an internal advocate of a test-driven and data-driven culture: unit testing (as a developer) and AB testing (as a data scientist)
• (5%) Represent Punchh’s expertise in advanced technologies in a variety of media outlets such as client interactions, conferences, blogs, and interviews.
  
  

Interview Process

• Interview #1: Phone Screen with Talent Acquisition Team
• Interview #2: Video interview with the Hiring Manager (via MS Teams)
• Interview #3: Video interview with the Team (via MS Teams)
  
  

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.