What are the responsibilities and job description for the Senior Software Engineer, Machine Learning - Account Integrity position at Uber Corporate?
Job Details
About the Role
We are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.
The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Develop production machine learning solutions to ensure the integrity of every Uber account
2. Partner with engineering and product leaders to help shape the roadmap
3. Leverage digital information, behavior signals and social networking signals to establish trust in users.
4. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc.
5. Integrate with business systems dealing with risk, safety, and compliance.
\\-\\-\\-\\- Basic Qualifications ----
1. 5 years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
2. Bachelor's degree in Computer Science, Engineering, Mathematics or related field
3. Strong problem-solving skills, with expertise in ML methodologies
4. Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
5. Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
\\-\\-\\-\\- Preferred Qualifications ----
1. PhD degree in Computer Science, Engineering, Mathematics or related field
2. Familiarity with multi-task learning, LLMs and anomaly detection
3. Fraud domain knowledge
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.
For all US locations, 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 [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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](;br>
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.
We are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.
The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountability
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Develop production machine learning solutions to ensure the integrity of every Uber account
2. Partner with engineering and product leaders to help shape the roadmap
3. Leverage digital information, behavior signals and social networking signals to establish trust in users.
4. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc.
5. Integrate with business systems dealing with risk, safety, and compliance.
\\-\\-\\-\\- Basic Qualifications ----
1. 5 years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
2. Bachelor's degree in Computer Science, Engineering, Mathematics or related field
3. Strong problem-solving skills, with expertise in ML methodologies
4. Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
5. Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
\\-\\-\\-\\- Preferred Qualifications ----
1. PhD degree in Computer Science, Engineering, Mathematics or related field
2. Familiarity with multi-task learning, LLMs and anomaly detection
3. Fraud domain knowledge
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.
For all US locations, 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 [](;br>
Uber is proud to be an Equal Opportunity/Affirmative Action 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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $198,000 - $220,000
