Staff Machine Learning Engineer

About The Opportunity
We're all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!
Why Work For Us
Grubhub is a place where authentically fun culture meets innovation and teamwork. We believe in empowering people and opening doors for new opportunities. If you're looking for a place that values strong relationships, embraces diverse ideas-all while having fun together-Grubhub is the place for you!
About the Team
The Discovery and Foundation team at Grubhub is dedicated to delivering high quality restaurant recommendations to our diners, building features to feed the models that power them, and creating useful menu item characterizations. As part of this team, you'll collaborate closely with data scientists, engineering, and product teams to bring innovative models to production, ensuring they are robust, scalable, and optimized for performance.
Our work spans across developing, deploying, and maintaining machine learning models in production environments. We heavily focus on observability, reliability, and scalability, ensuring that our systems can handle the complexities of real-world data and high traffic.
The Impact You Will Make

• Architect and Develop: Lead the design and implementation of scalable and reliable MLOps pipelines. You'll ensure that our data scientists can rapidly iterate on models and deploy them seamlessly into production.
• Repo Management: Oversee the migration and management of monorepos, ensuring efficient dependency management, security compliance, and streamlined workflows across Python projects.
• System Monitoring & Observability: Implement robust monitoring frameworks to ensure that our systems are observable and that we can react swiftly to any issues. You'll play a critical role in minimizing SEV incidents and ensuring system health.
• Platform Improvement: Drive continuous improvements in our data science platform, exploring how we can integrate tools (eg. Sagemaker) in the data science workflow and integrate with the rest of the GrubHub platform.
• Raise Engineering Standards: Collaborate closely with data scientists to instill best practices in coding, testing, and version control. Raise the overall quality and reliability of our codebase.
• Data Lineage and Documentation: Establish processes for better data lineage, documentation, and ownership across our datasets, reducing the risk of inconsistencies and ensuring that teams can operate autonomously and efficiently.
• Data Versioning & Model Management: Develop and refine systems for data versioning, model management, and deployment strategies, ensuring that models are easy to manage, debug, and deploy.

What You Bring to the Table

• Experience: 5+ 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: Strong proficiency in Python, containerization, orchestration tools, and experience with data versioning and model management tools.
• Problem Solving: Ability to tackle complex problems related to system integration, data consistency, and infrastructure scaling. Experience with distributed systems and microservices architecture is a plus.
• Collaboration: Excellent communication skills, with the ability to work closely with data scientists, product managers, and other engineers. Strong focus on mentoring and knowledge sharing
• 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

NYC Salary Range: $215,500 - $269,500
The Base Pay component of our Total Rewards package is based on a variety of factors including but not limited to: job responsibilities, location, experience and, education/certifications. In addition to the pay component, this role may be eligible for equity and benefits as part of the Total Rewards package. The Total Rewards package will be determined at the time a contingent offer is made.
And Of Course, Perks!

• Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge.
• Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.
• Compensation. You'll receive a great compensation package with eligibility for generous incentives, commission, or RSUs (role-specific).
• Free Meals. Our employees get a weekly Grubhub credit to enjoy and support local restaurants.
• Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund . Employees are also given paid time off each year to support the causes that are important to them.

Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you're applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to [email protected] and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.
If you are a resident of the State of California and would like a copy of our CA privacy notice, please email [email protected].