Machine Learning Ops Engineer
Listed on 2026-10-31
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IT/Tech
Data Engineering, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Ready to make an impact? Explore our open roles and find your place ether, we’re shaping the future while living our values every step of the way.
We take charge – every problem has an owner.
Deliver OutcomesThe scoreboard matters –effort must yield a “W”.
Win TogetherWe generate collective wins for our customers, employees, shareholders and community.
Never SettleWe are drivers, forever disrupting the status quo.
For PAR to win, we need our customers, our employees, our suppliers, our shareholders, and our community to succeedWe believe by committing to these values (and more) we can build a cultural moat that, combined with our product moat, will create years of long-term success
What to Expect During the Interview Process Technical Roles- Key Stakeholders’ Interview
- Opportunity to meet with a member of executive leadership—applicable for certain roles or levels during the interview process.
- Candidates may be invited to showcase their technical skills and expertise through a project or technical assessment.
- Key Stakeholders’ Interview
- Opportunity to meet with a member of executive leadership—applicable for certain roles or levels during the interview process.
Full time
Location TypeHybrid
CompensationThe base salary range for this position is 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.
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 or connect with us on Linked In , X (formerly Twitter) , Facebook , and Instagram .
Position
Description:
As an ML Ops Engineer at Bridg, you will be the engineering partner to a data science team that has built Bridg’s next-generation identity resolution model. Your focus will be to help take their work from notebooks to monitored, automated production — building and maintaining the pipelines, tests, and observability that keep our match data reliable will spend most of your week writing code: building pipelines, tuning Spark jobs, wiring up CI/CD, and leaving the system better tested and better documented than you found it.
We are a growing SaaS organization building cloud-native, data-intensive applications on AWS and Snowflake, using Spark, Python, MLflow, and related tooling. The ideal candidate is curious, collaborative, and comfortable working in a fast-moving environment with a strong sense of ownership and accountability.
Position Location:
Reports To:
Director of Product, Bridg
Who You Are:
2–4 years of experience building production data or ML systems, with a Bachelor’s degree in Computer Science, Data Engineering, or a related field (or equivalent practical experience)
A highly motivated, curious, and capable learner with a strong sense of ownership and accountability
A strong communicator and collaborator who works well across cross-functional teams
Comfortable in a fast-moving environment — able to shift priorities, navigate ambiguity, and support a customer-facing system
What We’re…
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