Uber's Applied AI team is seeking a Senior Machine Learning Engineer to join their horizontal AI team that collaborates across the company to deliver cutting-edge AI solutions. This role sits at the intersection of classical machine learning, generative AI, and ML infrastructure, working to power core user and business-facing products.
The position is based in Bangalore, India, and requires a hybrid work arrangement where employees spend at least half of their work time in the office. The role demands a strong background in machine learning, with experience in both traditional ML approaches and modern techniques like generative AI.
As a Senior ML Engineer, you'll be responsible for developing and deploying ML solutions that directly impact Uber's core business problems. The role involves working with various technologies including Python, Java, and distributed systems tools like Kafka and Cassandra. You'll collaborate closely with product, science, and engineering teams to build and maintain production-ready ML systems.
Key areas of focus include Generative AI, Computer Vision, and Personalization. The ideal candidate should have extensive experience with ML frameworks such as TensorFlow, PyTorch, and JAX, along with strong software engineering fundamentals. The role requires either a Master's/PhD with 2 years of experience or 5 years of relevant software engineering experience.
This is an excellent opportunity for someone passionate about applying cutting-edge AI technologies to solve real-world problems at scale. You'll be part of a team that's shaping the future of Uber's intelligent experiences while working with some of the most advanced ML technologies and infrastructure.
The position offers the chance to work on high-impact projects that affect millions of users globally, while being part of a collaborative team environment that values continuous learning and professional growth. If you're excited about building ML solutions that power core business functions and want to work at the forefront of AI technology, this role at Uber could be your next career move.