About the Role
At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs.
At Uber AI Solutions, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human-in-the-loop solution for the industry.
We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for robotics, computer vision and related fields. This is an opportunity for the candidate to build and scale the customer mindshare and impact large-scale vision models and establish us as a leader in the AI training space.
What the Candidate Will Do:
- Client engagement for presales support - partner with Sales to interact with prospective clients (AI frontier labs, robotics & video generation companies in the physical AI space) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement
- Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them to drive ongoing governance, enable troubleshooting, find up/cross-sell opportunities, bring thought leadership with client teams
- Program delivery - help to manage the delivery of annotation, training & evaluation of AI models in the physical AI space
- Innovation and thought leadership - demonstrate deep understanding and expertise of computer vision related AI training and evaluations including robotics, video synthesis, VLA, etc., with prospective clients; leverage this expertise to drive talent strategy, tech platform and tooling, and any other relevant new capabilities to advance the maturity of this area
- Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling, and make it best in class
- Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
- Best practices - continually improve ways of work, enhance delivery maturity, elevate governance, and impact
Basic Qualifications:
- 7+ years of overall experience, with specific familiarity in ML operations, data annotation and AI infrastructure domains
- Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation VLM, and robotics companies) for data annotation, training, evaluation and performance benchmarking.
- Experience in client-facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI/Science/Research teams
- Familiarity with strategies for delivery and QA processes in this domain is required
- Track record of driving innovation and thought leadership in AI training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends
- Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams
- Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
- Ability to work in a global organization across locations and time zones
Preferred Qualifications:
- Education in technical domains like engineering, STEM, business management
- Deep knowledge of the AI domain - with a curious bent of mind to keep updated on, and participate in, the latest developments and research
- Strong business acumen, willingness to take smart risks, and grow
- Ability to get hands-on and go deep and be very detail-oriented where needed, and zoom out to see and manage the big picture
- Sense of ownership - self-starter who can take a charter and define goals, execute plans
- Good prioritization and time management skills
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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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.