Oura
Consumer · Smart ring health wearable
Oura currently has 14 active job listings related to AI. The company is heavily focused on hiring for roles within the "agents" stage, which constitutes 43% of its active AI positions. Engineering is the most frequent function for these hires. Oura is primarily hiring in the United States and Finland. Frequent tech tags include llm_observability, model_serving, and agent_orchestration, suggesting a focus on deploying and managing AI agents. Over the last 30 days, Oura posted 4 new AI roles, representing a 20% decrease compared to the previous 30-day period.
Consumer · Smart ring health wearable
Currently tracking 8 active AI roles, up 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $147k–$267k (avg $196k).
Oura currently has 13 active AI-related roles in our index. The most common open titles are: Senior Algorithm Scientist (2), AI Fullstack Engineer, Health Intelligence, Core Platform Engineer, Data and Algo (All Levels), Director, Integration & Automation Engineering, Senior AI Engineer – Health Intelligence. Most positions are in Engineering and Research.
Oura's active AI hiring is concentrated in: agents (46%), data (31%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Oura is hiring AI talent in: United States (8 roles), Finland (4 roles).
Job postings at Oura most frequently mention: Machine Learning, Algorithms & Data Structures, System Design, Content Generation, Python.
In the past 30 days, Oura has posted 3 new AI-related roles. That is a -50% change versus the prior 30 days (6 → 3).
| Title | Stage | AI score |
|---|---|---|
| Senior Data Scientist Senior Data Scientist at Oura, focusing on advancing physiological feature pipelines using wearable health data. The role involves transforming multi-sensor data into actionable health metrics, developing reusable data analytics tools, and contributing to strategic roadmaps. Requires expertise in Python, deep learning, multimodal data fusion for sequential data, forecasting, optimization, and deploying data science products on AWS using PyTorch. | Data | 7 |