Uber Senior Machine Learning Engineer 

United States, West Virginia 

642695384

What the Candidate Will Do

• Design and build Machine Learning models with optimization engines.
• Productionize and deploy these models for real-world application.
• Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
• Write high-quality code and uphold standards for testing and coverage.
• Align the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions
• Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.
• Find opportunities to improve how our team operates and promote standard processes

Basic Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 3+ years of full-time engineering experience.
• 2+ years of ML experience and building ML models
• Experience working with multiple multi-functional teams(product, science, product ops etc).
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
• Experience with big-data architecture, ETL frameworks and platforms.
• Solid understanding of latest ML technologies, and libraries.
• Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

Preferred Qualifications

• Experience with the design and architecture of ML systems and workflows.
• Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
• Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
• Experience with optimizing Spark queries for better CPU and memory efficiency.
• Experience owning and delivering a technically challenging, multi-quarter project end to end

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .