Senior 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

What We’re Looking For:

• 6+ years of experience working on machine learning projects.

• A bachelor’s, master’s, or doctorate degree in Computer Engineering or Computer Science.

• Strong understanding of statistical modeling, machine learning, and data mining.

• Proficiency in Python and AWS machine learning packages.

• Experience with Python web frameworks such as Flask, Django, or FastAPI.

• Hands-on experience with databases (Elasticsearch, SQL, NoSQL, Hive, etc.).

• Proven experience in cloud-based software development and deployment (AWS preferred).

• Excellent communication skills with the ability to articulate complex concepts into actionable insights.

Additional Skills:

• Familiarity with distributed data processing tools like Spark and Snowflake.

• Experience working with multiple cloud platforms (AWS, Azure, GCP).

• Background in retail personalization or digital marketing.

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

• Develop, integrate, manage, and monitor machine learning microservices on AWS for recommender systems, personalization, natural language processing, and analytics dashboards.

• Build a suite of automated tests for machine learning microservices to ensure robustness and accuracy.

• Design and manage CI/CD pipelines to streamline model deployment.

• Lead the team in implementing best practices for scalable and efficient model deployment.

• Automate real-time data pipelines and batch processing workflows.

• Promote AWS best practices to improve quality, security, efficiency, and cost-effectiveness within the team.

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.