Grubhub
Overview
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Sr. Software Engineer
role at
Grubhub .
About The Opportunity The Data Science Solutions team is a mix of data scientists and software engineers dedicated to building robust experimentation, machine learning and decision modeling solutions for teams across Grubhub. The solutions built by this team help drive Grubhub products such as delivery estimation, dispatch decisions, driver scheduling, etc., as well as provide a platform for teams to manage experiments and automate the analysis of those experiments.
Responsibilities
Contribute to Development: Design and implement experimentation, MLOps and decision modeling pipelines that enable data scientists to iterate on and deploy changes efficiently.
System Monitoring & Observability: Implement monitoring frameworks to maintain system observability and quickly address issues, contributing to minimizing SEV incidents.
Platform Support: Improve the data science workflow by exploring tools and integrations that enhance the Grubhub platform.
Promote Engineering Standards: Collaborate with data scientists to implement best practices in coding, testing, and version control, contributing to the reliability of the codebase.
Documentation and Data Lineage: Establish processes for better data lineage, documentation, and ownership across datasets, reducing inconsistencies and promoting team autonomy.
Data Versioning & Model Management: Develop 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.
Benefits The Base Salary For This Position Is Below
New York: $208,500 - $216,500
Wonder Group 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.
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.
Free Meals. Our employees get a weekly Grubhub credit to enjoy.
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 TalentAcquisition@grubhub.com 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 privacy@grubhub.com.
#J-18808-Ljbffr
Sr. Software Engineer
role at
Grubhub .
About The Opportunity The Data Science Solutions team is a mix of data scientists and software engineers dedicated to building robust experimentation, machine learning and decision modeling solutions for teams across Grubhub. The solutions built by this team help drive Grubhub products such as delivery estimation, dispatch decisions, driver scheduling, etc., as well as provide a platform for teams to manage experiments and automate the analysis of those experiments.
Responsibilities
Contribute to Development: Design and implement experimentation, MLOps and decision modeling pipelines that enable data scientists to iterate on and deploy changes efficiently.
System Monitoring & Observability: Implement monitoring frameworks to maintain system observability and quickly address issues, contributing to minimizing SEV incidents.
Platform Support: Improve the data science workflow by exploring tools and integrations that enhance the Grubhub platform.
Promote Engineering Standards: Collaborate with data scientists to implement best practices in coding, testing, and version control, contributing to the reliability of the codebase.
Documentation and Data Lineage: Establish processes for better data lineage, documentation, and ownership across datasets, reducing inconsistencies and promoting team autonomy.
Data Versioning & Model Management: Develop 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.
Benefits The Base Salary For This Position Is Below
New York: $208,500 - $216,500
Wonder Group 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.
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.
Free Meals. Our employees get a weekly Grubhub credit to enjoy.
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 TalentAcquisition@grubhub.com 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 privacy@grubhub.com.
#J-18808-Ljbffr