What are the responsibilities and job description for the Senior Software Engineer, Uber AI Solutions position at Uber?
About The Role
At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through Uber AI Solutions (UAIS), a fast-growing team operating like a startup within Uber.
We are building foundational model data infrastructure for the next generation of AI systems, where human intelligence and machine learning models work together to produce Model Ready Datasets.
Our platform serves frontier labs, cognitive research teams, and model infrastructure organizations operating across Generative AI & Physical AI. As models are pushed into multimodal, interactive, and real world usecases, high quality, well structured and well understood data becomes a system level requirement.
We are creating a cutting-edge, AI powered, scalable, human in the loop platform that integrates expert knowledge workers directly into the data lifecycle. From dataset design and evaluation to feedback driven iterations and responsible data production, our infrastructure enables team to move faster without compromising rigor and reliability. We operate in over 30 countries, with knowledge workers actively engaged in preparing datasets for a variety of AI initiatives.
We believe breakthroughs in AI will be driven not only by advances in models, but by the strengths of data systems that support them. Our mission is to build the infrastructure that makes frontier research and production possible at scale.
We are seeking a Senior Software Engineer to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases.
What You'll Do
At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through Uber AI Solutions (UAIS), a fast-growing team operating like a startup within Uber.
We are building foundational model data infrastructure for the next generation of AI systems, where human intelligence and machine learning models work together to produce Model Ready Datasets.
Our platform serves frontier labs, cognitive research teams, and model infrastructure organizations operating across Generative AI & Physical AI. As models are pushed into multimodal, interactive, and real world usecases, high quality, well structured and well understood data becomes a system level requirement.
We are creating a cutting-edge, AI powered, scalable, human in the loop platform that integrates expert knowledge workers directly into the data lifecycle. From dataset design and evaluation to feedback driven iterations and responsible data production, our infrastructure enables team to move faster without compromising rigor and reliability. We operate in over 30 countries, with knowledge workers actively engaged in preparing datasets for a variety of AI initiatives.
We believe breakthroughs in AI will be driven not only by advances in models, but by the strengths of data systems that support them. Our mission is to build the infrastructure that makes frontier research and production possible at scale.
We are seeking a Senior Software Engineer to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases.
What You'll Do
- Lead the design and delivery of complex backend projects, taking end-to-end ownership from requirements through production rollout.
- Partner cross-functionally with ML Ops, data, and product teams to translate platform and business needs into scalable, efficient backend solutions.
- Influence technical direction within your team, defining patterns, reviewing designs, and championing high standards for code quality and reliability.
- Use AI-assisted development tools and automation frameworks to improve development velocity and team productivity.
- Mentor engineers and support peer growth, fostering collaboration and continuous improvement within the team.
- Bachelor's degree in Computer Science or a related field (or equivalent experience).
- Proficient in one or more of Java, Go, Python, C , with proven track record of shipping services and working in production.
- Demonstrated experience in system design, service reliability, scalability; comfortable evaluating trade-offs for real-world systems.
- Experience working cross-functionally with product, design, data/ML engineering teams.
- Excellent communication skills; able to articulate technical decisions, influence within the team, mentor junior engineers.
- 5 years of software engineering experience in building scalable, high-quality systems.
- Hands-on experience designing or scaling ML Ops workflows, including feature stores, training pipelines, or model deployment systems.
- Practical experience integrating ML-powered components into backend systems (e.g., inference APIs, model monitoring, or real-time analytics).
- Knowledge of data labeling, collection, and translation pipelines that feed production ML models.
- Understanding of GenAI and LLM-based systems; familiarity with prompt engineering, fine-tuning, or embedding-based retrieval frameworks.
Salary : $202,000 - $224,000