ML Engineer II

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

At Uber for Business, youll be part of a fast-paced environment that embraces innovation and collaboration. With your contributions, we aim to continue revolutionizing business travel solutions and offer best-in-class services to solve real-world problems.

Basic Qualifications

• Develop and manage large-scale machine learning models, with an emphasis on Large Language Models (LLMs), to address complex challenges and enrich user interactions specifically within Uber for Business platforms.
• Pioneer the application of generative AI and LLMs for innovative use cases, strictly aligning with Uber for Business strategic and technological objectives.
• Implement anomaly detection techniques to monitor and diagnose abnormalities in business metrics within U4B, ensuring reliability and performance integrity.
• Enhance system robustness and efficiency by continuously optimizing and scaling ML models within the business domain.
• Drive technological advances by integrating state-of-the-art ML technologies in the development process, contributing significantly to the technological leadership of Uber for Business.
• Mentor junior engineering staff in ML technologies, machine learning best practices, and anomaly detection, fostering a culture of continuous learning and technical excellence in the business division.
• Stay current with the latest developments in AI and machine learning, particularly focusing on applications beneficial to Uber for Business.
  
  

• Strong coding skills in one or more programming languages (Python, Golang, and Java)
• Proven experience in software engineering, application development, with a significant background applying machine learning at scale.
• Experience with ML technology, such as Tensorflow/Pytorch, Caffe, Scikit-Learn, Spark MLLib, OpenAI, LangChain, or equivalent.
• Minimum of 3 years of software engineering experience.
• SQL or similar query language
• Ability to collaborate effectively across multifunctional teams within Uber for Business and lead complex projects.
• Excellent analytical and problem-solving skills.