Uber
Machine Learning Engineer II - ETA & Routing
Uber, San Francisco, California, United States, 94199
Overview
As a Machine Learning Engineer at Uber, you will play a pivotal role in developing and enhancing the ETA (Estimated Time of Arrival) and Routing models powering Uber's Rides & Delivery Marketplace globally. Accurate ETA and route predictions across geographies, transportation modalities and lines of business are fundamental for the company's operations and growth. If you have a growth mindset and a strong desire for customer and business impact, this is the role for you. What You Will Do
Build next-generation Deep Learning models for ETA using advanced ML tools like PyTorch, TensorFlow, MLLib on Uber's Machine Learning Platform. Own the entire modeling lifecycle end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance. Develop and maintain Go/Java based backend systems that integrate with critical business workflows at Uber to provide fast ETA predictions at scale. Participate in & drive team\'s operational processes: regular service and model deployments, observability and system robustness improvements and on-call shifts. Collaborate with applied scientists, engineers & product managers to drive solutions for open-ended business problems. Ideate and design ETA/Routing centric solutions that unlock new lines of business for Uber. Basic Qualifications
Bachelor\'s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience or PhD with 2+ years of full-time engineering experience Expertise in one or more object-oriented programming languages (e.g., Python, Go, Java, C++). Preferred Qualifications
Deep domain knowledge in ETA, Routing and/or Traffic modelling. Hands-on experience in building and maintaining scalable backend systems and pipelines which serve model predictions. Experience shipping production-grade deep learning models and optimization systems, and designing sophisticated experimentation techniques. Salary and Benefits (San Francisco, CA)
The base salary range for this role is USD 167,000 to 185,500 per year. You will be eligible to participate in Uber\'s bonus program, may be offered an equity award, and may be eligible for various benefits. More details: https://www.uber.com/careers/benefits
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As a Machine Learning Engineer at Uber, you will play a pivotal role in developing and enhancing the ETA (Estimated Time of Arrival) and Routing models powering Uber's Rides & Delivery Marketplace globally. Accurate ETA and route predictions across geographies, transportation modalities and lines of business are fundamental for the company's operations and growth. If you have a growth mindset and a strong desire for customer and business impact, this is the role for you. What You Will Do
Build next-generation Deep Learning models for ETA using advanced ML tools like PyTorch, TensorFlow, MLLib on Uber's Machine Learning Platform. Own the entire modeling lifecycle end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance. Develop and maintain Go/Java based backend systems that integrate with critical business workflows at Uber to provide fast ETA predictions at scale. Participate in & drive team\'s operational processes: regular service and model deployments, observability and system robustness improvements and on-call shifts. Collaborate with applied scientists, engineers & product managers to drive solutions for open-ended business problems. Ideate and design ETA/Routing centric solutions that unlock new lines of business for Uber. Basic Qualifications
Bachelor\'s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience or PhD with 2+ years of full-time engineering experience Expertise in one or more object-oriented programming languages (e.g., Python, Go, Java, C++). Preferred Qualifications
Deep domain knowledge in ETA, Routing and/or Traffic modelling. Hands-on experience in building and maintaining scalable backend systems and pipelines which serve model predictions. Experience shipping production-grade deep learning models and optimization systems, and designing sophisticated experimentation techniques. Salary and Benefits (San Francisco, CA)
The base salary range for this role is USD 167,000 to 185,500 per year. You will be eligible to participate in Uber\'s bonus program, may be offered an equity award, and may be eligible for various benefits. More details: https://www.uber.com/careers/benefits
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