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Senior Engineering Manager

2 months ago

San Francisco, United States Uber Full time

About the Role

Uber's Applied AI team is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to enhance the Uber experience for millions of users globally. We are seeking a highly technical Senior Engineering Manager to lead our dynamic team of engineers and AI experts. This role requires a unique blend of technical expertise, leadership skills, and a deep understanding of AI and ML applications.

What You Will Do

  • Oversee a team of engineers and AI experts, fostering a culture of innovation and collaboration.
  • Provide technical direction for AI projects, ensuring the application of best practices and cutting-edge technologies.
  • Collaborate with cross-functional teams to align AI initiatives with business objectives.
  • Manage multiple AI projects, ensuring timely and high-quality delivery.
  • Stay current with the latest advancements in AI/ML and integrate new technologies into the team's work.

Basic Qualifications

  • Master’s or Ph.D. in Computer Science, Engineering, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in a technical leadership role.
  • Proven expertise in AI and machine learning, including supervised and unsupervised learning, neural networks, natural language processing, computer vision, or reinforcement learning.
  • Experience deploying AI/ML models in production environments at scale.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Excellent problem-solving skills and a track record of navigating complex technical challenges.
  • Strong communication and interpersonal skills, with the ability to lead and inspire a team.

Preferred Qualifications

  • Publications or contributions to AI/ML research in top conferences or journals.
  • Demonstrated success in managing and delivering large-scale AI projects.
  • Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
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