Job Description
Hi there! We're PAR and our purpose is:
To deliver solutions that connect people to the restaurants, meals and moments they love.
We take that responsibility very seriously. As a leading provider of technology to the top restaurant brands in the world we're calling all rebels, instigators, idealists and builders to join our constantly growing team!
PAR invented the first standalone point of sale terminal over 40 years ago, yet we operate much like a start-up at the forefront of restaurant technology. Today, our solutions span Customer loyalty, engagement, restaurant management, payment services, drive-thru, and full POS integrations. These solutions are used to serve tens of millions of guests every day in over 120 countries.
Our mission is to build the number one restaurant technology company in the world and we're off to great start.
We believe that our ambition is only limited by our ability to attract and retain great people; people who are up for the challenge to change the game with us! If it sounds like you belong here, we should meet!
Position Description:
As a Machine Learning Engineer at Punchh, Inc., a subsidiary of PAR Technology, you will be at the forefront of developing innovative machine learning solutions that revolutionize the restaurant industry. You will work closely with our product management and engineering teams to design, implement, and deploy machine learning algorithms that drive customer engagement, loyalty, and revenue for our clients. You will have the opportunity to work with large-scale data sets and cutting-edge technologies to solve complex business problems.
Position Location:
This position reports to our San Mateo, CA office. May work from home office anywhere in the U.S.
Pay Band:
The base salary for this position is $148,429 USD per year commensurate with work location, experience, skills, certifications, education, and prior accomplishments. The position may be eligible for additional compensation, including a bonus, commission and/or equity, as applicable.
What You'll Do:
- (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.
What We're Looking For:
- Master's degree in Computer Science, Software Engineering, or Electrical Engineering.
- 18 months of experience as a Computer & Information Research Scientist.
- Must have 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.
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 par_leave@partech.com. If you'd like more information about your EEO rights as an applicant, please visit the US Department of Labor's website.
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