Robotics AI Engineer
FieldAI · On-site
MeritLog read this listing from FieldAI's Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Singapore
- Company website
- www.fieldai.com
Hiring context
How this role compares at FieldAI
FieldAI has 133 live roles in MeritLog’s catalog across 7 job families, and 102 of them are in engineering. 96 of those listings publish a pay range, a disclosure rate of 72%.
FieldAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
Robotics AI Engineer Location: Singapore Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the Job As a Robotics AI Engineer, you will design and deploy AI algorithms that enable robots to perceive, reason, and act in unstructured environments. You will collaborate with cross-functional teams spanning robotics, machine learning, and systems engineering to bring cutting-edge autonomy solutions from research to real-world deployment.
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