Uber
Senior Engineering Manager - Applied AI
Uber, San Francisco, California, United States, 94199
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.For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link
https://www.uber.com/careers/benefits .
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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.For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link
https://www.uber.com/careers/benefits .
#J-18808-Ljbffr