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Software Engineer II - Backend
Uber
New York•Remote•4-7 Yrs•Jun 26
Job description
Remote
Overview
Uber Eats is the fastest-growing food delivery platform in the world!
Responsibilities
- Innovate and Productionize ML Models: Design and deploy state-of-the-art machine learning models to automate merchant data reconciliation, entity resolution, and data quality improvements.
- Build Scalable ML Systems: Architect and maintain end-to-end large-scale ML pipelines that ingest and process complex merchant datasets to power downstream products like Home Feed and Ads.
- Feature Engineering: Develop robust merchant embeddings and features that improve the precision of sales outreach and the efficiency of the merchant onboarding process.
- Enhance Data Foundations: Improve the ML quality, model serving foundation, and data infrastructure specifically for merchant intelligence.
- Cross-Functional Collaboration: Partner closely with Product, Backend Engineering, and Platform teams to translate business needs into scalable ML solutions.
- Incremental Impact: Maintain a bias toward shipping incremental improvements that have a clear, measurable impact on user experience and business growth.
Qualifications
- Technical Proficiency: Strong coding skills in at least one language such as Python, Java, or Go .
- ML Frameworks: Expertise with modern ML frameworks such as PyTorch or TensorFlow .
- Systems Design: Experience building and productionizing innovative, end-to-end Machine Learning systems that handle large or complex datasets.
Nice to have
- Domain Expertise: Experience in simplifying and converting complex business problems (like data consistency and merchant classification) into actionable ML problems.
- Large-Scale Systems: Demonstrated ability to develop complex software systems scaling to millions of users with high reliability and monitoring.
- Big Data Tools: Familiarity with data processing and streaming tools such as Spark, Hive, Kafka, or Cassandra .
- Advanced ML Techniques: Experience with NLP, graph machine learning, or entity resolution is highly advantageous given the team's focus on merchant data.
- Mentorship: Proven track record of mentoring junior engineers and driving engineering excellence within a team.
- Communication: Strong teamwork and communication skills to effectively collaborate with stakeholders across the organization.