ML Engineer II

What the Candidate Will Need / Bonus Points

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

At Uber for Business, you'll 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 ----

1. 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.
2. Pioneer the application of generative AI and LLMs for innovative use cases, strictly aligning with Uber for Business strategic and technological objectives.
3. Implement anomaly detection techniques to monitor and diagnose abnormalities in business metrics within U4B, ensuring reliability and performance integrity.
4. Enhance system robustness and efficiency by continuously optimizing and scaling ML models within the business domain.
5. 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.
6. 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.
7. Stay current with the latest developments in AI and machine learning, particularly focusing on applications beneficial to Uber for Business.

---- Preferred Qualifications ----

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

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*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 accommodations@uber.com.

Client-provided location(s): Bangalore, India

Job ID: Uber-145240

Employment Type: FULL_TIME

Posted: 2025-06-27T00:28:19