Jakob Engel

Director Of Research at Meta

Seattle, Washington, United States
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Summary

🤩
Rockstar
🎓
Top School
Jakob Engel is Director of Research at Meta Reality Labs, leading the Spatial AI team within Surreal to push egocentric 3D perception for contextual AI and future AR devices. With 13 years of experience bridging academic research and product-scale systems, he previously progressed through roles at Meta from Research Scientist to manager before taking his current leadership post. His PhD work at Technical University of Munich on dense visual SLAM, odometry, and quadrotor navigation underpins a pragmatic research style that emphasizes robust, cross-platform implementations. Jakob is an active open-source contributor to influential SLAM projects such as LSD-SLAM and Direct Sparse Odometry, with hands-on commits improving core data structures, performance, and multi-threading for real-world use. He combines system-level engineering rigor—seen in fixes for MacOS threading and international numeric formatting—with a product mindset focused on enabling live AR experiences (see Project Aria). Based in Seattle, he blends deep technical authorship with team leadership to translate cutting-edge perception research into deployable AR capabilities.
code13 years of coding experience
job6 years of employment as a software developer
bookMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at Technical University of Munich
bookAbitur, Abitur at Gymnasium Othmarschen
languagesGerman, English, Spanish, French
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Github Skills (22)

c-language10
multithreading10
eigen10
computer-vision10
cprogramming-language10
ros10
image-processing9
data-structure9
multiplatform9
camera-calibration9
cross-platform9
kalman-filter9
hyper-threading9
thread9
slam9

Programming languages (2)

C++C

Github contributions (5)

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tum-vision/tum_ardrone

Nov 2012 - Nov 2014

Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.
Role in this project:
userBack-end Developer & Algorithm Specialist
Contributions:16 commits in 1 year 11 months
Contributions summary:Jakob primarily focused on modifying and enhancing the `PTAMWrapper.cpp` file within the `tum_ardrone` repository, likely contributing to the visual navigation system. Their commits indicate work on PTAM integration, including the addition of functionality for exporting point clouds and logging scale pairs. Additionally, the user made adjustments to the autopilot's behavior, fixing a bug related to yaw control.
ros
tum-vision/lsd_slam

Sep 2014 - Dec 2014

LSD-SLAM
Role in this project:
userBack-end Developer
Contributions:39 commits, 14 comments, 8 issues in 2 months
Contributions summary:Jakob made several commits focused on core functionality within the LSD-SLAM core, particularly related to the `Frame` data structure. The commits show modifications to `Frame.cpp` involving memory management and data structures, likely to optimize performance. The user also worked on the `Undistorter` class, adjusting camera calibration and image resolution handling and integration within the main image processing pipeline. Other commits involve multi-threading and other minor code changes.
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