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About Grubhub
At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It’s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.
Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.
Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.
About The Opportunity
The Discovery Platform team is looking for an innately curious, business-minded, results-oriented backend Software Engineer to work in our Discovery and Ads teams. We are focused on providing high quality and highly relevant merchant and dish results and ads to users who are exploring restaurants and dishes either on home, search results, or other parts of the funnel serving discovery. As a member of this highly collaborative team you will partner with other engineers, data scientists, and the product team to build new features and improve the search platform, focusing on areas like query understanding, relevance, hybrid search, autocomplete and ads.
The Impact You Will Make
Contribute to Development: Assist in the design and implementation of experimentation, MLOps and decision modeling pipelines that enable our data scientists to iterate on and deploy changes efficiently.
System Monitoring & Observability: Help implement monitoring frameworks to maintain system observability and quickly address any issues, contributing to minimizing SEV incidents.
Platform Support: Contribute to platform improvements by exploring tools and integrations that enhance the data science workflow and ensure smooth integration with the GrubHub platform.
Promote Engineering Standards: Collaborate with data scientists to implement best practices in coding, testing, and version control, contributing to the overall quality and reliability of our codebase.
Documentation and Data Lineage: Assist in establishing processes for better data lineage, documentation, and ownership across datasets, reducing inconsistencies and promoting team autonomy.
Data Versioning & Model Management: Participate in the development of systems for data versioning, model management, and deployment strategies, ensuring models are manageable and easy to deploy.
What You Bring to the Table
Experience: 3+ years in software engineering with a focus on MLOps, Python, and cloud-based environments (AWS preferred). Proven experience in building and maintaining CI/CD pipelines, managing monorepos, and scaling machine learning models in production.
Technical Expertise: Proficiency in Python, containerization, orchestration tools, and experience with data versioning and model management tools. Additional experience in Java is a plus. Front-end experience with Flask or React is a plus. Experience or knowledge of training, deploying and monitoring ML models is a plus.
Problem Solving: Ability to address challenges related to system integration, data consistency, and infrastructure. Experience with distributed systems and microservices architecture is a plus.
Collaboration: Strong communication skills, with the ability to work closely with data scientists, product managers, and other engineers. An emphasis on knowledge sharing and teamwork.
Continuous Improvement: Passion for staying up-to-date with the latest trends in MLOps, machine learning, and software engineering, with a drive to continuously improve and innovate
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $208,500 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. If you have a disability, please let your recruiter know how we can make your interview process work best for you.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.
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