Sr Staff Software Engineer (Risk)
About the Role
The Risk Engineering team is part of the Uber Core Services organization. Our team is responsible for Risk decisions, fraud and abuse detection and prevention, Risk management decisions for tens of billions of USDs' of transactions on the Uber platform, and the number is growing rapidly.
We build cutting edge real-time fraud detection and prevention systems that scale to millions of users leveraging large scale data, distributed systems, and advanced machine learning technologies.
The candidate will lead the problem identification and formulation, software design and architecture, and guide cross-functional product and engineering teams to deliver high impact technology solutions to address complex problems in risk and fraud domains.
The candidate will foresee architectural problems and opportunities within the organization and lead the technical direction for long term system architecture betterment and modernization.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design and develop scalable solutions to address fraud and abuse problems as well as drive better user experiences across Uber Products and Lines of Businesses
- Work with cross functional teams (Product Managers, Data Scientists/Analysts, Program engineers, Machine Learning Engineers) to identify any product/functionality gaps, define the problem space, contribute to product requirements, design and develop system solutions.
- Contribute to longer term technical roadmap and drive overall system architecture betterment for Risk product Engineering. Identify systemic opportunities and preempting architectural risks before these become bottlenecks.
- Provide thought leadership including challenge the status quo when needed.
- Mentor, coach, and multiply: proactively mentor senior engineers and influence teams across the broader Risk
- Be an owner and strive for excellence in your role
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---- Basic Qualifications ----
- Bachelor's degree in Computer Science or related technical discipline (or equivalent experience) w/ 10+ years experience.
- Strong analytical and problem-solving skills. Taking on challenge problems and driving solutions.
- Capable of creating structure and driving progress in an ambiguous environment
- Demonstrated ability to contribute to long term technical vision, to scope, create and successfully deploy new technical strategies / initiatives / capabilities.
- Deep technical expertise and proven technical leadership/technical influence across wide organization
- Team player with good communication skills.
---- Preferred Qualifications ----
- Previous experience with Risk, Fraud Detection
- Experiences with Applied Machine Learning
- Experience to interact with cross-functional teams from multiple geo-locations
For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 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.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program