Software Engineer jobs at Über

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. About the Team At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences. What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Thrive in ambiguous requirements, and explore with curiosity * Make data driven decisions, with exceptional execution * Be motivated to own projects and push them forward with independence * Most importantly, have a passion to make Uber better for our customers Basic Qualifications * Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field * Candidates must have at least one semester/quarter of their education left following the internship Preferred Qualifications * Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals * Experience in one or more object-oriented languages, including C++, Java, Python, or Go * Experience with observability domain, eg OpenTelmetry will be a plus * Ability to communicate effectively with both technical and business partners * Experience in simplifying/converting business problems into technical problems * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation * Experience presenting at industry recognized academic conferences and a good publishing record For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various 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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets... how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. + You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern + Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases + Our codebase is written entirely in Swift with modern design patterns and coding standards **Responsibilities:** + Own your project, while checking in with other team members throughout the day with questions and updates + You leave the code in a better state than when you found it (progressive refactor) + You value reliability, ensured by testing (unit, integration and load tests) + Participate in code reviews to ensure code quality and distribute knowledge + Continuous integration and deployment + Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! **Experience:** + Currently pursuing a **Bachelor's or Master's degree in Computer Science** , with a **graduation date between December 2026 and Summer 2027 (required).** For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. + Available during **Summer 2026** for an internship in San Francisco + Strong knowledge of CS fundamentals + **Strong knowledge of Swift** + Excellent communication skills + Passion for community, sustainability, and/or transportation + Ability to thrive in a startup environment + Experience with real-time technology problems + Contributions to open source projects + Experience working with databases + Experience solving real-time technology problems + Experience with mobile development + Previous work with social networks **Benefits:** + Great medical, dental, and vision insurance options + Mental health benefits + In addition to holidays, interns receive 2 days paid time off and 3 days sick time off + 401(k) plan to help save for your future + Pre-tax commuter benefits + Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We care deeply about delivering the best transportation experience; this means the best experience for the rider and the best experience for the driver. We believe this quality of service can only be achieved with a deep understanding of our world, our cities, our streets… how they evolve, how they breathe. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. You're an enthusiastic and aspiring app developer looking to take your skills to the next level by joining our iOS team as an intern Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases Our codebase is written entirely in Swift with modern design patterns and coding standards Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft rider! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, with a graduation date between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience. Available during Summer 2026 for an internship in San Francisco Strong knowledge of CS fundamentals Strong knowledge of Swift Excellent communication skills Passion for community, sustainability, and/or transportation Ability to thrive in a startup environment Experience with real-time technology problems Contributions to open source projects Experience working with databases Experience solving real-time technology problems Experience with mobile development Previous work with social networks Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the San Francisco area is $52 - $58/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. You'll be joining the Driver Loyalty & Rewards team, which is focused on creating meaningful value for drivers every time they drive. We build features that recognize, reward, and strengthen drivers' connection to the platform, making their driving experience more engaging and rewarding. You're an enthusiastic app developer looking to take your skills to the next level by joining our Android team. We build apps used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Within the teams, backlog grooming, planning meetings, daily stand-ups, demos and retrospectives keep us agile, and accountable. Continuous integration with automated testing allows us to run a bi-weekly release train. Our beta release process gives us useful insight into user behavior and heavy use of analytics, A/B testing and feature flagging allows for rapid iteration. With a focus on delightful user experiences, we balance building new features, refactoring code, and tweaking existing features based on analytics data. Every line of code gets reviewed by other developers, every pixel inspected by designers, and every feature hammered on by manual and automated QA. Responsibilities: * Keep up-to-date with Android and industry developments * Build great UX for millions of users * Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution * Write well-crafted, well-tested, readable, and maintainable code * Analyze our internal systems and processes and locate areas for improvement/automation * Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices * Identify, triage, debug and resolve issues/bugs across our various applications and platforms * Participate in code, product and design reviews to provide feedback to ensure best practices Experience: * 3+ years of software engineering industry experience * Worked on and shipped large scale Android applications * Experience with Kotlin. Java experience is nice-to-have but not required. * Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry * Experience with Jetpack Compose, unit and snapshot testing, and creating shared components * Great product sense; you care about usability and good design * Ability to work with a low-ego, highly collaborative, and cross-functional team * Bonus points: experience pursuing side projects or open-source projects Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $128,000-$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. You'll be joining the Driver Loyalty & Rewards team, which is focused on creating meaningful value for drivers every time they drive. We build features that recognize, reward, and strengthen drivers' connection to the platform, making their driving experience more engaging and rewarding. You're an enthusiastic app developer looking to take your skills to the next level by joining our Android team. We build apps used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Within the teams, backlog grooming, planning meetings, daily stand-ups, demos and retrospectives keep us agile, and accountable. Continuous integration with automated testing allows us to run a bi-weekly release train. Our beta release process gives us useful insight into user behavior and heavy use of analytics, A/B testing and feature flagging allows for rapid iteration. With a focus on delightful user experiences, we balance building new features, refactoring code, and tweaking existing features based on analytics data. Every line of code gets reviewed by other developers, every pixel inspected by designers, and every feature hammered on by manual and automated QA. Responsibilities: Keep up-to-date with Android and industry developments Build great UX for millions of users Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution Write well-crafted, well-tested, readable, and maintainable code Analyze our internal systems and processes and locate areas for improvement/automation Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Identify, triage, debug and resolve issues/bugs across our various applications and platforms Participate in code, product and design reviews to provide feedback to ensure best practices Experience: 3+ years of software engineering industry experience Worked on and shipped large scale Android applications Experience with Kotlin. Java experience is nice-to-have but not required. Experience with architecture paradigms like unidirectional and reactive programming, and other patterns commonly used in the industry Experience with Jetpack Compose, unit and snapshot testing, and creating shared components Great product sense; you care about usability and good design Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source projects Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $128,000-$160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

We're looking for PhD candidates to intern on the Observability Data Platform team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** At Uber, we provide a centralized, reliable, and interactive observability platform that includes metrics, logging, and tracing. This platform empowers engineers with the tools needed for monitoring, troubleshooting, and performing root cause analysis at scale. Currently, the platform handles more than 5 billion metrics per second, 4 million tracing spans per second, and 30 million logs per second-and it's continuously evolving to support Uber's growth. In addition to addressing common challenges associated with large distributed systems, such as scalability, availability, performance, and efficiency, our team also leverages GenAI to provide aggregated insights, enhancing engineers' debugging experiences. **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Thrive in ambiguous requirements, and explore with curiosity + Make data driven decisions, with exceptional execution + Be motivated to own projects and push them forward with independence + Most importantly, have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + Knowledge of underlying technical foundations of distributed systems and/or GenAI fundamentals + Experience in one or more object-oriented languages, including C++, Java, Python, or Go + Experience with observability domain, eg OpenTelmetry will be a plus + Ability to communicate effectively with both technical and business partners + Experience in simplifying/converting business problems into technical problems + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation + Experience presenting at industry recognized academic conferences and a good publishing record For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits. 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- ***************************************************************************************************

We're looking for PhD candidates to intern on the Kafka team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. About the Team The Kafka team is a part of the Data Infrastructure team. It is responsible for providing a messaging service that is highly available, durable, and provides an end-to-end latency guarantee. Transporting multi-trillion messages a day across tens of thousands of topics (and growing), we are one of the biggest Kafka ecosystems in the world. Within the team, we have four sub-areas: Security and Observability, Core Kafka, Kafka Ecosystem, and Kafka Messaging Platform. Projects include Kafka on Odin, Kafka Tiered Storage, Kafka Security, Ecosystem Manager, Kafka Consumer Proxy, Kafka Client Standardization, Hardcore Efficiency, etc What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Make data-driven decisions, with exceptional execution * Be motivated to own projects and push them forward with independence * Work on the internals of Kafka and build features that will help serve our users better. * Build services that are part of the Kafka Ecosystem * Most importantly, have a passion to make Uber better for our customers Basic Qualifications * Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field * Candidates must have at least one semester/quarter of their education left following the internship Preferred Qualifications * Solid understanding of Java for backend / systems software development * Knowledge of the underlying technical foundations of distributed systems * Experience with open source streaming technologies, e.g., Kafka and Flink * Ability to communicate effectively with both technical and business partners * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various 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.

We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. ## About the Team The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a [partnership](******************************************************** with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact. ## What You'll Do * Drive exciting, ambitious, previously unsolved projects from end to end * Develop novel algorithms that use Uber data at global scale * Thrive in an environment with ambiguous product requirements * Collaborate closely with product managers and data scientists * Be motivated to independently own and drive projects forward * Have a passion to make Uber better for our customers ## Basic Qualifications * Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field * Candidates must have at least one semester/quarter of their education left following the internship ## Preferred Qualifications * ## Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR * Deep understanding in computer vision and multi-modal large language models * Proficient in prototyping research ideas using popular deep learning frameworks * Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc. * Experience in one or more object-oriented languages, including C++, Java, Python, or Go * Ability to communicate effectively with both technical and business partners * Experience in simplifying/converting business problems into technical problems * Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation * Experience in the Autonomous Vehicles related research For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various 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.

We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact. **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Develop novel algorithms that use Uber data at global scale + Thrive in an environment with ambiguous product requirements + Collaborate closely with product managers and data scientists + Be motivated to independently own and drive projects forward + Have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + **Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR** + Deep understanding in computer vision and multi-modal large language models + Proficient in prototyping research ideas using popular deep learning frameworks + Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc. + Experience in one or more object-oriented languages, including C++, Java, Python, or Go + Ability to communicate effectively with both technical and business partners + Experience in simplifying/converting business problems into technical problems + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation + Experience in the Autonomous Vehicles related research For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. 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- ***************************************************************************************************

We're looking for PhD candidates to intern on the Kafka team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team. **About the Team** The Kafka team is a part of the Data Infrastructure team. It is responsible for providing a messaging service that is highly available, durable, and provides an end-to-end latency guarantee. Transporting multi-trillion messages a day across tens of thousands of topics (and growing), we are one of the biggest Kafka ecosystems in the world. Within the team, we have four sub-areas: Security and Observability, Core Kafka, Kafka Ecosystem, and Kafka Messaging Platform. Projects include Kafka on Odin, Kafka Tiered Storage, Kafka Security, Ecosystem Manager, Kafka Consumer Proxy, Kafka Client Standardization, Hardcore Efficiency, etc **What You'll Do** + Drive exciting, ambitious, previously unsolved projects from end to end + Make data-driven decisions, with exceptional execution + Be motivated to own projects and push them forward with independence + Work on the internals of Kafka and build features that will help serve our users better. + Build services that are part of the Kafka Ecosystem + Most importantly, have a passion to make Uber better for our customers **Basic Qualifications** + Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field + Candidates must have at least one semester/quarter of their education left following the internship **Preferred Qualifications** + Solid understanding of Java for backend / systems software development + Knowledge of the underlying technical foundations of distributed systems + Experience with open source streaming technologies, e.g., Kafka and Flink + Ability to communicate effectively with both technical and business partners + Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits. 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- ***************************************************************************************************

At Uber, we're reimagining the way the world moves. From how you get home from work, to how you eat meals, or how you move huge shipments of anything, the work we do is shaping the future of mobility and changing the way people live. To get there, we've brought together a collective of optimists and doers to tackle some of the most ambitious problems of our time. We believe in learning by doing-and that there is no better classroom than real-world experience. Join us to move yourself-and the world-forward. About the Program Our internship and co-op program is perfect for university students looking for valuable real-world experience within the confines of an environment that fosters mentorship and feedback. As an intern, you'll have a direct impact on the customer experience for riders, drivers, eaters, restaurant and business owners, and cities alike. If you like our services and want to bring them to the next level. If you enjoy working in a team-based environment that executes at a fast pace. If you are interested in working on products that impact millions of people around the globe. Then you should apply to join our intern program! We are hardworking, engaged, and passionate about cracking the code on urban mobility and delivery. If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** ## What You'll do * ## Work with your manager and mentor to drive exciting, ambiguous, previously unsolved projects from end to end. * ## Design, develop, and/or test software applications using company technology stack. * ## Apply technical knowledge to evaluate complex data, development, or projects in order to resolve technical issues. * ## Build software components to be integrated into a fully functional software system. * ## Be motivated to own projects and push them forward with independence. Basic Qualifications * Actively pursuing a Bachelor's, or Master's in Computer Science, Engineering or a related technical field at University of Texas at El Paso with at least one remaining semester of school left after completion of the internship. (If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** Preferred Qualifications * Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or publications * Programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc) * Experience building tools/infrastructure * A desire to be part of a team that delivers impactful results every day * A commitment to writing understandable, maintainable, and reusable software * An innate desire to deliver and a strong sense of accountability for your work * Ability to learn new languages and methodologies For New York, NY-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$52.00 per hour. For all US locations, you will also be eligible for various 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.

**About the Role** The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber's global business very directly. To enable these initiatives, we invest heavily in our architecture so that we can support demanding products efficiently and scalably. **What You Will Do:** The role is focused on backend work in collaboration with machine learning engineers, applied scientists, product managers, across teams and orgs. You'll work on some of Uber's most strategic marketplace challenges at a global scale.This is an exciting opportunity to shape the future of Uber's rider pricing and make a direct impact on the business. You will be responsible for leading interdisciplinary projects, designing for global scalability, creating new patterns and coding standards, and mentoring more junior engineers. **Basic Qualifications:** + Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field + 4+ years of full-time Software Engineering work experience + Proficient in a language such as Java/Go/Python + Experience building scalable distributed systems + Proven ability to work in and contribute to cross-functional teams **Preferred Qualifications:** + 5+ years of experience including advanced degrees + Demonstrated ability to design, maintain, and support business critical systems + Excellent problem-solving, critical thinking, and communication skills. + Experience deploying ML technologies into products. + Deep knowledge of Spark and its optimization techniques. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************

**About the Role** You will be joining the UberEats Order Platform Team. This team handles the core product layer orchestration for all Delivery orders at Uber, across the lifecycle from order creation to fulfillment to billing. The main themes within the team are reliability, architectural improvements and new logistical capability building. **What You Will Do** 1. Build scalable and extensible backend systems that facilitate various workflows for order fulfillment 2. Put reliability front and center: both at a system level and at the business metric level 3. Address defects and inefficiencies with urgency, both reactively and proactively 4. Organize and program manage your own work and work for your team, facilitating proper tracking of progress against committed goals ---- Basic Qualifications ---- 1. 3+ years of software engineering experience 2. Experience with Go, Java, Python, or other backend technologies 3. Strong software engineering fundamentals: knowledge of basic tenets and patterns for API design and code organization ---- Preferred Qualifications ---- 1. Experience with distributed system concepts and microservices ecosystem 2. Experience of handling critical user facing tier1 systems For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************

About the Role The Fares Platform Team is at the heart of Uber's business, powering all global fares for our entire ecosystem, from rides and deliveries to new initiatives. Our systems are critical tier-1 components that handle tens of billions of dollars in gross bookings. We own the full stack, including platform fare calculation, data science models for upfront pricing, and the mobile fare experiences that our customers see. As a backend engineer, you'll join a fast-paced, solutions-oriented team to build powerful and robust features for our critical internal configuration platform. You'll make a tangible impact by working closely with a diverse group of stakeholders, including product managers, operations, data scientists, and engineers across the company. What You'll Do As a member of the Fares Platform team, you will be instrumental in: * Building and expanding our core backend systems to enable new features and support key product launches across Uber's global business. * Working with stakeholders across the company-from product managers to data scientists-to deeply understand business problems and develop effective technical solutions. * Owning the full development lifecycle, from design and implementation to deployment and monitoring, ensuring the reliability and performance of your systems. * Maintaining system health by participating in on-call rotations and proactively identifying and addressing potential issues. Basic Qualifications * 2+ years of professional experience as a backend engineer, with hands-on experience in a language like Go, Java, or Python. * Experience designing and building large-scale, distributed systems, with a focus on system reliability, performance, and maintainability. * A solid understanding of computer science fundamentals, including data structures, algorithms, and systems design. Preferred Qualifications * Proven track record of building scalable, highly available backend services within a microservices architecture. * A strong understanding of system design with experience working across multiple backend services to deliver a cohesive solution. * High standards for code quality and engineering excellence, including a focus on thorough testing, clear documentation, and maintainable code. * Experience in the payments or fintech space, particularly with systems that handle financial transactions and data. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 [****************************************************************************** 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.

At Uber, we're reimagining the way the world moves. From how you get home from work, to how you eat meals, or how you move huge shipments of anything, the work we do is shaping the future of mobility and changing the way people live. To get there, we've brought together a collective of optimists and doers to tackle some of the most ambitious problems of our time. We believe in learning by doing-and that there is no better classroom than real-world experience. Join us to move yourself-and the world-forward. ## About the Program UberSTAR is a paid student internship program designed to promote equal opportunity, inclusion, and access in tech by encouraging applications from women and underrepresented people, including but not limited to Black, Hispanic, Native American, students with disabilities, LGBTQIA+, and Veterans. This program is open to all first or second year students enrolled full-time in a community college or university, regardless of race, gender, or ethnicity. UberSTAR connects students interested in working in tech with full-time internships at Uber to provide participants with real-work skills, experiences, and the professional networks they need to succeed! Note: If you are not currently pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** ## What You'll Do * ## Work with your manager and mentor to drive exciting, ambiguous, previously unsolved projects from end to end. * ## Design, develop, and/or test software applications using company technology stack. * ## Apply technical knowledge to evaluate complex data, development, or projects in order to resolve technical issues. * ## Build software components to be integrated into a fully functional software system. * ## Be motivated to own projects and push them forward with independence. ## Basic Qualifications * Actively pursuing a Bachelor's in Computer Science, Engineering or a related technical field at University of Texas at El Paso. (If you are not pursuing a degree at University of Texas at El Paso, please apply [here](************************************************** * Must have completed an introductory Computer Science course * Must be a first or second year student at the time of application. Students transferring from a community college into a four-year program are eligible to apply * Have basic programming experience in one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc.) ## Preferred Qualifications * Proven software engineering experience through previous internships, work experience, coding competitions, and/or publications * Experience building tools/infrastructure * A desire to be part of a team that delivers impactful results every day * A dedication to writing understandable, maintainable, and reusable software * A desire to deliver and a strong sense of accountability for your work * Willingness to learn new languages and methodologies For New York, NY-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For Seattle, WA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$46.00 per hour. For all US locations, you will also be eligible for various 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.

**Michelangelo Team** Uber's Michelangelo team builds and operates the company's end-to-end machine learning platform, empowering teams across Uber to develop, deploy, and scale AI/ML solutions with speed, reliability, and compliance. From real-time fraud detection to personalized recommendations and dynamic pricing, Michelangelo provides the core infrastructure, workflows, and developer tools that make AI accessible at scale. The team focuses on delivering cutting-edge capabilities in model training, orchestration, feature engineering, deployment, and observability-driving innovation while ensuring performance, safety, and trust in Uber's AI systems. In this role, you will design and build the frontend of Uber's machine learning platform, Michelangelo. The work spans standard entity pages as well as rich, interactive data visualization experiences for model insights. A core focus is making the UI configuration-driven through APIs, enabling backend engineers to seamlessly extend the system with new components without additional frontend cycles. This approach frees frontend engineers to concentrate on advancing the UI framework and developing intuitive, high-impact visualizations that help users better understand and optimize their models in Uber's rapidly growing ML ecosystem. As Michelangelo moves toward open source, you will also help shape frameworks and interfaces that will be used by a global developer community, influencing industry best practices in ML platforms. **Basic Qualifications** 1. Experience with Modern JavaScript 2. Experience with Modern JS frameworks 3. Exposure to modern UX concepts **Preferred Qualifications** 1. 3+ years frontend or full stack experience developing web applications at large scale 2. Min 3+ industry engineeting experience 3. Experience designing and developing web UIs using JavaScript or Typescript 4. Experience using frontend frameworks such as React or GraphQL 5. Experience with Kubernetes For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************

**About the Role** The Fares Platform Team is at the heart of Uber's business, powering all global fares for our entire ecosystem, from rides and deliveries to new initiatives. Our systems are critical tier-1 components that handle tens of billions of dollars in gross bookings. We own the full stack, including platform fare calculation, data science models for upfront pricing, and the mobile fare experiences that our customers see. As a backend engineer, you'll join a fast-paced, solutions-oriented team to build powerful and robust features for our critical internal configuration platform. You'll make a tangible impact by working closely with a diverse group of stakeholders, including product managers, operations, data scientists, and engineers across the company. **What You'll Do** As a member of the Fares Platform team, you will be instrumental in: + **Building and expanding our core backend systems** to enable new features and support key product launches across Uber's global business. + **Working with stakeholders across the company** -from product managers to data scientists-to deeply understand business problems and develop effective technical solutions. + **Owning the full development lifecycle** , from design and implementation to deployment and monitoring, ensuring the reliability and performance of your systems. + **Maintaining system health** by participating in on-call rotations and proactively identifying and addressing potential issues. **Basic Qualifications** + **2+ years of professional experience** as a backend engineer, with hands-on experience in a language like Go, Java, or Python. + **Experience designing and building large-scale, distributed systems** , with a focus on system reliability, performance, and maintainability. + **A solid understanding of computer science fundamentals** , including data structures, algorithms, and systems design. **Preferred Qualifications** + **Proven track record of building scalable, highly available backend services** within a microservices architecture. + **A strong understanding of system design** with experience working across multiple backend services to deliver a cohesive solution. + **High standards for code quality** and engineering excellence, including a focus on thorough testing, clear documentation, and maintainable code. + **Experience in the payments or fintech space** , particularly with systems that handle financial transactions and data. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************

**About the Role** The Container Platform team's mission is to build the next generation of Uber's container orchestration platform on Kubernetes that is secure, reliable, scalable, and highly efficient. At Uber we have a complex infrastructure spanning both on-prem data centers and cloud. It supports a diverse variety of workloads (stateless, batch, streaming), each different in its characteristics and requirements. We build solutions to enable user applications/jobs to be deployed anywhere in the world with the touch of a button. We build abstractions so that Uber developers do not have to care about infrastructure and infrastructure just works for every application type. We actively work with the open-source community including Kubernetes and contribute back. We are at the cutting edge of technology and the team regularly presents at industry conferences. Here are some KubeCon sessions (2024 session + video , 2023 session1 , session2 ) where we have talked about our team's work. We are looking for a strong engineer to drive and contribute to the technical roadmap & delivery of our Container Platform. **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- 1. Design and implement solutions to meet Platform goals 2. Write maintainable and extensible code with high quality tests and documentation 3. Collaborate with other engineering teams as part of project design and execution 4. Productionize solutions across the fleet by having right observability for close monitoring and evolving the solution based on production experience. 5. Contribute to project scope and planning 6. Represent one's work in internal forums ---- Basic Qualifications ---- 1. Bachelor's degree in Computer Science or related field 2. Experience programming in one or more languages like Go, Java, Python, C/C+3. 2+ years of professional software development experience ---- Preferred Qualifications ---- 1. Background in large-scale backend infrastructure 2. Knowledge of cluster management solutions such as Kubernetes 3. Understanding of container technologies such as docker or containerd 4. Knowledge of operating systems and linux kernel For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************

**About the role:** Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems. **About the Team:** This team is within Uber's Machine Learning Platform (Michelangelo) We are building a truly extensible machine learning ecosystem. This system provides a comprehensive tool chains to empower ML engineers to build high quality machine learning solutions in all perspectives in Uber's business. Our team is composed of collaborative people with deep knowledge in various domains, such as, but not limited to, distributed systems, analytical systems, large-scale backend services, large-scale computing infra, feature stores, data vis and cloud-based AI solutions. [Meet Michelangelo: Uber's Machine Learning Platform (*********************************** Working on building the control plane and ML app framework, that supports all ML use cases in Uber. On this team, we: + Build, test and manage the micro services. + Build frameworks for training and serving applications + Build applications with non SQL storages. + Build pipelines offline and streaming related to generative AI needs in Uber, such as but not limited to: + Data Ingestion + Model Fine-tune and model accuracy + Prediction Evaluation + Monitoring **Minimum qualifications:** + Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 2-year total technical software engineering experience in one or more of the following areas: + Programming language (e.g. C, C++, Java, Python, or Go) + Training using data structures and algorithms + Machine learning (e.g., tree-based techniques, supervised learning) + Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib + Note the 2-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated. **Technical skills:** Required: + Feature management At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world! We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together! 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 . For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 ************************************** 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- ***************************************************************************************************