Fabrica AI SOFTWARE INTERNSHIPS
Fabrica AI is creating a future where ideating and developing a robot for any task takes days, not years. We believe that by training end to end controls in simulation with reinforcement learning and above that iterating hardware designs, we can automate the whole development process. At the current stage, the most important resource is a large fleet of robots to validate our approaches for our AI system and to collect data. This would help keep us grounded in reality.
To start building up the fleet, we invented an automatic tile grouting robot that boosts productivity by 5x and are piloting it on construction sites in Singapore managed by Woh Hup, BHCC, Gin Chia, Soilbuild, and Dragages. This should correspond to about 30% of the Singaporean market. We have early leads in the US and Europe as well. Tile grouting is the process of filling up the gaps between tiles after the tiles have been laid. Grouting is part of virtually every construction project and a highly laborious process, is considered one of the most physically damaging tasks resulting in tilers’ knees and back issues, and thus quality issues would also arise. We invented a patent pending robot that is able to automatically grout and clean tile gaps with only a press of a button. The operators would only need to reload grout and water.
We have also pitched at the Built Environment Demo Day 2022 organised by BCA as part of the International Built Environment Week (IBEW) and won the Rising Star Award. IBEW has drawn more than 10,000 individuals from over 100 countries.
Recently, we had a Presentation to Deputy Prime Minister of Singapore: https://www.linkedin.com/feed/update/urn:li:activity:7034394354731413504
We have also raised 850k USD from Hoxton Ventures to enable our development in not just our tile grouting robots but also other forms of construction automation.
Website: https://www.fabrica.ai/ Latest Demo: https://youtu.be/MoOgIkGSc28
Your internship would revolve around real-world industry deployments taking us from a TRL of 7 to 9. You may be remunerated with a combination of salary and share options. The following tracks are available, you would probably be doing a couple of them up to your preference, with examples of what has been done by previous interns (plus most of assembly has been done by interns):
1) (Software) Create new data generator for object detection (ideal is some experience with Blender/Unreal/Unity)
2) (Deep Learning and Machine Learning): Train, and evaluate our computer vision model fine-tuned on synthetic data on a real-world test set.
3) (Deep Learning engineering): Go through the list of researched libraries, use them to integrate the model into ROS2, and evaluate (compute) performance. Test performance uplift on low-power DL co-processors.
4) (algorithms) Write an algorithm to turn object detection bounding boxes in pixel space to 3D space using known constraints (baseline algo already researched). Turn it into a ROS2 node.
5) Robotics DevOps & Real World Industry Trials (must be in Singapore)
- Understand the whole project and run our ROS2 stack on real HW.
- Create reproducible testing methodology and evaluate metrics on the HW.
- Be in charge of the robots on the construction site.
- Explore and procure new parts/new materials for robot functionality improvement
A great candidate would possess the following:
- Motivation to build a great product and great codebase using the most recent tech stack for the slowly coming robotics revolution
- Value the direct impact on the product and proximity to clients at a startup and the growth potential of a startup
- Willing to work without a very well defined job scope and willing to adapt to changes week on week
- Ability to think of metrics to measure progress and deciding based on back of the envelope calculations
- Keenness to do more than is expected, impact driven
- Excited about robotics and similar technical areas and exploring them in extracurricular projects
- Growth mindset driven
For roles 1-4, can be in person in Singapore and Czechia or remote.
Our development process is very iterative and agile. Thus, there would not be a concrete plan more than 2 weeks ahead and your role/tasks is/are likely to evolve over time. If you like this process, you’d be a good fit for us. You would thus play a significant part in deciding how your work would contribute to our overall goals. Please email your resume to careers@fabrica.ai if you are interested. Thank you
