Website HalodiRobotics Halodi Robotics AS

Halodi Robotics is bringing robots out of factories and into the human world. We have cracked the code and engineered a safe, capable, and affordable solution (named EVE) that will be deployed in the immediate future to security, retail, and the food-packaging markets.

Inspired by innovation and serving the greater good, Halodi Robotics intends to produce thousands of humanoid robots by 2023—and that’s just the beginning. With the mission to bring humanoid robots to everyone, Halodi Robotics offers one of the most futuristic, world-changing career opportunities of our time. And with a team that enjoys being social outside of work, collaboration and support of Halodians extends well beyond the 9 to 5.

This is the place where people come to live and work to their full potential. Halodians are passionate about seeing the human-robot world come to fruition and embrace our holistic approach to building robots—all components of our robots are developed in-house including: motors, transmissions, sensors, electronics, controls, and AI. There are not many places where you can touch every aspect of such an advanced technology, but with Halodi Robotics’ modern approach, nothing is off-limits

What You’ll Get By Joining Our Team

You can shape the future of humanoid robots.
You will have the autonomy to improve all aspects of your technical skills.
You’ll join an agile and diverse, global team.

What You’ll Do

We are looking for a machine learning technical lead to assist us in establishing our machine learning infrastructures to ensure our humanoid robots are able to continuously learn and improve over time. You will be responsible for developing our continuous learning cycle through ETL (extract, transform, and load) for intelligent robotics. You will be primarily working with our software teams (including primary controls, SLAM navigation, and computer vision) and will be a key player in the future growth of our machine learning team. An ideal candidate for this role is a technical leader who has a blend of academic and professional experience within machine learning, as well as someone who has been a part of the entire product lifecycle.


Leading the R&D, testing, deployment, and continuous improvement of our machine learning infrastructure
Establishing and leading the machine learning team
Balancing research and product to deliver the highest quality, state-of-the-art experiences, while innovating through the full stack
Collaborating with cross-functional teams to help inform and influence architecture during the design phase according to requirements

A Bachelors Degree or Diploma (or equivalent industry experience) in computer vision, software, computer science, systems engineering, mechanical, electrical, or related fields
3+ years of relevant machine learning experience
Hands-on experience designing, developing, testing, and troubleshooting machine learning infrastructure
Experience with programming (Python, C/C++)
Experience with ETL, data cleaning, and data processing
Experience with machine learning frameworks (Keras, Tensorflow, Pytorch)
Technical leadership experience and aptitude

Added Bonuses:

Graduate degree in related field
Experience with Java, ROS2, C#, and VR/XR
Experience with robotics, navigation, manipulation, computer vision, and/or embedded systems
Track record of deploying models to hardware systems

“With these collaborative robots–these more holistic robotics if you will–you’re trying to create a new world. You’re trying to create a human-robot world; one where interactions become the primary driver of the application.”- Nicholas, Project Director

Stay in The Loop:

Halodi Robotics is the place where abstract ideas become reality—and even faster than you’d expect.

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Halodi Robotics is an equal opportunity employer. All qualified applicants are given consideration regardless of race, religion, colour, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable employment laws. If you have a disability or special need that requires accommodation, please contact us at recruiting (at) halodi (dot) com.

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