Uber
Senior Software Engineer, Uber AI Solutions
1 day ago Be among the first 25 applicants
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 use cases, 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 teams 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.
What You'll Do
Lead the design and delivery of complex backend projects, taking end‑to‑end ownership from requirements through production roll‑out.
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.
Basic Qualifications
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.
Preferred Qualifications
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.
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 https://www.uber.com/careers/benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Internet Marketplace Platforms
Referrals increase your chances of interviewing at Uber by 2x
#J-18808-Ljbffr
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 use cases, 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 teams 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.
What You'll Do
Lead the design and delivery of complex backend projects, taking end‑to‑end ownership from requirements through production roll‑out.
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.
Basic Qualifications
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.
Preferred Qualifications
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.
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 https://www.uber.com/careers/benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Internet Marketplace Platforms
Referrals increase your chances of interviewing at Uber by 2x
#J-18808-Ljbffr