Sr. Staff Machine Learning Engineer

$252,000 - $280,000/Yr

Uber - New York, NY

Full-time - Senior

New York, NY

Transit and Ground Passenger Transportation

About the position

This critical role is responsible for leading the technical vision and hands-on implementation of an adversarial machine learning problem. Due to the evolving and dynamic nature of the problem space, you'll need to keep up-to-date with the state of the art techniques and, as a mentor, foster the development of the team to enhance their skill set. This role involves significant stakeholder communication to the highest levels of leadership, requiring the translation of technical details into understandable terms for all involved. You'll be guiding the day-to-day activities of the team as well as the longer term charter. This role is high-impact, fast-moving and requires an individual who can be successful in a highly adaptable environment. It's an adversarial problem that will keep you interested, challenging your skills to be able to detect bad actors as they evolve and to do it in near real-time at high-scale.

Responsibilities

• Lead small engineering group to protect Uber's marketplace data
• Set technical vision and socialize it across the company
• React quickly to the ever changing threat landscape

Requirements

• Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Ability to mentor and grow a group of other Software Engineers
• Ability to lead projects with several cross-org dependencies and design complexities
• Large-scale training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)

Nice-to-haves

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field
• 8+ years of experience in professional software development experience, developing and deploying systems in production environments
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Ability to mentor and grow a group of other Software Engineers
• Anomaly Detection Techniques
• Deep Learning
• Scalable ML architecture
• Feature management
• Causal ML
• Reinforcement learning

Benefits

• Eligible to participate in Uber's bonus program
• May be offered an equity award & other types of compensation
• Various benefits as detailed on Uber's careers page