Overview
On Site
Full Time
Skills
Data Science
Computer Vision
Geospatial Analysis
Research
Innovation
Artificial Intelligence
Computer Science
Mathematics
Training
TensorFlow
PyTorch
JAX
scikit-learn
Big Data
Extract
Transform
Load
Apache Spark
MapReduce
HDFS
Apache Hive
Machine Learning (ML)
Optimization
Deep Learning
Generative Artificial Intelligence (AI)
Problem Solving
Conflict Resolution
Analytical Skill
Law
Legal
Collaboration
Job Details
About the Team
The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization, Geospatial AI,
About the Role:
We are looking for a strong ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you'll be responsible for delivering Uber's next wave of intelligent experiences by building Agentic experiences that introduce novel user experiences for Riders and Eaters.
What the Candidate Will Do:
- Build an iterate on novel agentic experiences to solve unmet needs of Riders and Eaters.
- This will require architecting a solution and frameworks (e.g. foundation models, RAG, eval methods) to rapidly build out a family of agentic experiences .
- Keep up with the latest research and innovation in the Agentic AI space and identify the best methods to serve the needs of our customers.
Basic Qualifications:
- Masters degree or Ph.D in Computer Science, Engineering, Mathematics
- 5+ years of experience in the development, training, productionization and monitoring of ML solutions at scale.
- Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
- Experience with big-data architecture, ETL frameworks such as Spark, MapReduce, HDFS, Hive.
Preferred Qualifications:
- Experience with formulating a business problem as an ML problem, identifying the right features, model structure and optimization constraints, and delivering business impact.
- Experience in modern deep learning architectures and recommender systems.
- Prior experience working with generative AI and incorporating solutions based on GenAI into products.
- Experience working with multiple across team and org boundaries with engineering and product counterparts.
- Excellent problem-solving and analytical abilities.
- Proven ability to collaborate effectively as a team player.
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](;br>
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.
The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization, Geospatial AI,
About the Role:
We are looking for a strong ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you'll be responsible for delivering Uber's next wave of intelligent experiences by building Agentic experiences that introduce novel user experiences for Riders and Eaters.
What the Candidate Will Do:
- Build an iterate on novel agentic experiences to solve unmet needs of Riders and Eaters.
- This will require architecting a solution and frameworks (e.g. foundation models, RAG, eval methods) to rapidly build out a family of agentic experiences .
- Keep up with the latest research and innovation in the Agentic AI space and identify the best methods to serve the needs of our customers.
Basic Qualifications:
- Masters degree or Ph.D in Computer Science, Engineering, Mathematics
- 5+ years of experience in the development, training, productionization and monitoring of ML solutions at scale.
- Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
- Experience with big-data architecture, ETL frameworks such as Spark, MapReduce, HDFS, Hive.
Preferred Qualifications:
- Experience with formulating a business problem as an ML problem, identifying the right features, model structure and optimization constraints, and delivering business impact.
- Experience in modern deep learning architectures and recommender systems.
- Prior experience working with generative AI and incorporating solutions based on GenAI into products.
- Experience working with multiple across team and org boundaries with engineering and product counterparts.
- Excellent problem-solving and analytical abilities.
- Proven ability to collaborate effectively as a team player.
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.