Senior Software Engineer - Applied AI - Uber
San Francisco, CA
About the Job
About the RoleThe Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems
We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end
Key areas of expertise include Computer Vision, ML Optimization, Geospatial AI, Personalization and Generative AI.\-\-\-\- What the Candidate Will Do ----- Design, develop, and maintain robust and scalable software solutions- Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment- Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment\-\-\-\- Basic Qualifications ----- Relevant degree (B.Sc, M.Sc, Ph.D) in Computer Science or related technical field or equivalent practical experience- Experience coding with C++, Java, Python, or Go- Enjoy building high quality software that is relied upon by millions of people around the world- Comfortable working with ambiguity in constantly evolving environment- Experience working in large scale distributed systems\-\-\-\- Preferred Qualifications ----- Advanced Degree: Master's or Ph.D
in computer science, engineering, data science, or a related field.- Experience in generative AI applications- Experience analyzing, monitoring, and solving large-scale, high-traffic distributed systems.For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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 [
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](
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 work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end
Key areas of expertise include Computer Vision, ML Optimization, Geospatial AI, Personalization and Generative AI.\-\-\-\- What the Candidate Will Do ----- Design, develop, and maintain robust and scalable software solutions- Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment- Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment\-\-\-\- Basic Qualifications ----- Relevant degree (B.Sc, M.Sc, Ph.D) in Computer Science or related technical field or equivalent practical experience- Experience coding with C++, Java, Python, or Go- Enjoy building high quality software that is relied upon by millions of people around the world- Comfortable working with ambiguity in constantly evolving environment- Experience working in large scale distributed systems\-\-\-\- Preferred Qualifications ----- Advanced Degree: Master's or Ph.D
in computer science, engineering, data science, or a related field.- Experience in generative AI applications- Experience analyzing, monitoring, and solving large-scale, high-traffic distributed systems.For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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 [
https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).Uber
is proud to be an Equal Opportunity/Affirmative Action employerAll 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](
https://forms.gle/aDWTk9k6xtMU25Y5A).Offices
continue to be central to collaboration and Uber’s cultural identityUnless 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.
Source : Uber