About the Role
We are looking for a Senior Applied Scientist to build and deploy machine learning and AI solutions in production. You will work on high-impact problems, taking ideas from concept to real-world systems, and help improve the reliability and effectiveness of AI-driven applications.
---- What the Candidate Will Do ----
- Build and deploy ML/AI models in production across a range of problem areas (e.g., classification, prediction, anomaly detection, risk scoring)
- Work end-to-end:
- problem definition → modeling → evaluation → production integration
- Collaborate with engineers to integrate models into scalable, reliable systems
- Design experiments and define metrics to measure performance and impact
- Continuously improve models based on data, feedback, and real-world usage
- Contribute to improving the reliability and robustness of AI systems, including LLM-based applications where relevant
- Apply model adaptation techniques where appropriate, such as fine-tuning, parameter-efficient tuning, or feedback-driven optimization
---- Basic Qualifications ----
- Ph.D., MS, or Bachelor’s degree in a quantitative field (CS, Statistics, Engineering, etc.)
- 2+ years (PhD/MS) or 4+ years (BS) of industry experience in Applied ML / AI
- Strong foundation in machine learning and statistics
- Experience building and deploying ML systems in production
- Proficiency in Python and working with large datasets
- Experience with experimentation, evaluation, and data analysis
---- Preferred Qualifications ----
- Experience with LLMs, including:
- RAG systems, prompt design, and evaluation
- Experience with model adaptation techniques, such as:
- fine-tuning, parameter-efficient tuning (e.g., LoRA, adapters)
- Familiarity with reinforcement learning or feedback-driven optimization approaches
- Experience working with large-scale data systems (e.g., Spark, Hive, Presto)
- Familiarity with reliability or safety considerations in AI systems
- Experience in domains such as security, fraud, or risk
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 fuelds progress. What moves us, moves the world - let’s move it forward, together.
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.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.