Sr. Staff Machine Learning Engineer

$252,000 - $280,000/Yr

Uber - New York, NY

Full-time - Senior

Remote - New York, NY

Transit and Ground Passenger Transportation

About the position

The Sr. Staff Machine Learning Engineer is a pivotal role focused on leading the technical vision and hands-on implementation of adversarial machine learning problems. This position requires staying updated with state-of-the-art techniques and mentoring team members to enhance their skills. The role involves significant communication with stakeholders at all levels, translating complex technical details into understandable terms. It is a high-impact, fast-paced position that demands adaptability and the ability to detect evolving threats in near real-time at scale.

Responsibilities

• Lead a 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 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
• Experience with large-scale training using data structures and algorithms
• Familiarity with 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, developing and deploying systems in production environments
• Experience with Machine Learning Software such as Tensorflow, Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Anomaly Detection Techniques
• Deep Learning
• Scalable ML architecture
• Feature management
• Causal ML
• Reinforcement learning

Benefits

• Participation in Uber's bonus program
• Potential equity award
• Various benefits as detailed in the company benefits link