Uber Sr Software Engineer Competitive Defense 

United States, West Virginia 

275336855

What You'll Do

• Responsible for hands-on-implementation of new methodologies, and leveraging existing technologies to build efficient, accurate, and scalable solutions and deploying them into production.
• Lead the strategic planning and execution of defense strategies, providing technical guidance on the latest machine learning technologies and approaches. As a mentor, you foster the development of more junior team members and encourage skill enhancement.
• Take charge in solving complex problems, innovating new solutions to enhance the effectiveness of our abilities. This role involves significant stakeholder communication, requiring the translation of technical details into understandable terms for non-technical stakeholders.
• Manage projects to ensure efficient goal achievement and compliance with legal and internal policies. Your role also includes collaborating with various departments to ensure a unified approach to API security. Overall, you combine expertise in technology with leadership and communication skills, playing a pivotal role in maintaining the organization's digital integrity.

Basic Qualifications

• Master's Degree or equivalent in Computer Science, Engineering, Mathematics or related field with 5+yrs of software development experience.
• Proficiency in one of the programming languages (e.g. C, C++, Java, Python, or Go)
• Experience in modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Proficiency in unsupervised learning techniques, such as clustering, anomaly detection, and neural networks.
• Familiarity with supervised learning, as it often complements unsupervised methods.
• Understanding of feature engineering and dimensionality reduction.
• Famliarity with machine Learning software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib

Preferred Qualifications

• Cybersecurity Knowledge:
• Understanding of web scraping techniques and countermeasures.
• Awareness of network security, HTTP protocols, and API security.
• Causal ML and Reinforcement Learning
• Ethical Considerations and Compliance:
• Awareness of ethical issues and regulatory compliance related to data privacy and machine learning.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.