World Labs
Research Engineer / Scientist (SLAM)
$250K–$350K
San Francisco · On-site · Full-time · Posted Feb 17, 2026
- Experience
- 6+ years in SLAM, state estimation, robotics perception, or related areas.
- Visa sponsorship
- Visa sponsorship is available; success is not guaranteed for every candidate or role.
About the job
Designs and advances SLAM systems for robust spatial understanding from real-world sensor data, translating research into production-ready capabilities for world modeling.
What you'll do
- Develop localization, mapping, state-estimation, and sensor-fusion pipelines, including optimization and loop closure.
- Research and prototype classical, learning-based, and hybrid SLAM methods; analyze failures and improve robustness.
- Build evaluation frameworks and optimize SLAM performance for large-scale production systems; collaborate with downstream teams.
What they ask for
- 6+ years of experience in SLAM, state estimation, robotics perception, or related areas.
- Strong foundation in probabilistic estimation, optimization, and geometric vision.
- Deep experience with one or more SLAM paradigms and proficiency in Python and/or C++.
- Experience with numerical optimization libraries and/or robotics frameworks; understanding of sensor calibration, synchronization, and noise modeling.
Nice to have
- Familiarity with learning-based perception or representation learning to augment classical SLAM pipelines.
Pay
$250K – $350K (base salary)
Tools
Python, C++, bundle adjustment, factor graphs, Kalman filtering
AI focus
Research and prototype learning-based or hybrid SLAM approaches combining classical geometry with machine learning; support spatially intelligent world modeling.
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