Sr Software Engineer - Backend

Wonder

23h • Hybrid

About The Position

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.

Requirements

• 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.
• Problem Solving: Ability to address challenges related to system integration, data consistency, and infrastructure.
• Collaboration: Strong communication skills, with the ability to work closely with data scientists, product managers, and other engineers.
• 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

Nice To Haves

• 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.
• Experience with distributed systems and microservices architecture is a plus.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees