Principal Machine Learning Engineer, Computer Vision

Reposted Yesterday
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Brussels, BEL
In-Office
Expert/Leader
Aerospace • Artificial Intelligence • Robotics • Defense
The Role
Design, implement and own production-grade perception pipelines (vision and multi-modal sensors) for autonomous countermeasures. Integrate and fuse EO/IR, IMU, radar and other sensors, develop and train ML models, optimize code for resource-constrained platforms, work hands-on with hardware, produce design documentation, and mentor team members.
Summary Generated by Built In

Who we are

Sphere Defense is a fully funded technology startup with the mission of providing allied countries with sovereign, effective and seamless autonomous countermeasures to neutralize todays’ and tomorrow’s aerial threats.

Sphere Defense was founded by industry veterans with previous successful exits, and is headquartered in Brussels, Belgium, in the heart of Europe.

About you

You are an experienced and highly-motivated Principal Machine Learning Engineer that has architected, designed and implemented multi-modal perception pipelines based on computer vision on mission-critical autonomous systems, ideally flying robots or homing missiles. 

What you’ll do

  • Be one of the first members of a high-performing team, designing and developing autonomous countermeasures to protect allied countries from aerial threats

  • Own, architect, design, develop, document and test state of the art perception pipelines based on vision and other data for situational awareness, detection, identification and tracking of targets

  • Integrate, evaluate and fuse data coming from EO/IR, IMUs, radars and other sources for target chasing

  • Be hands-on, working close to the hardware when needed during development and tests

  • Draft and review documentation and design documents

  • Be a team player and a mentor, being available to support and grow the team when needed

Location: Onsite in Brussels, Belgium. Our office is close to Central Station.

Reports to: Chief Technology Officer

Requirements

  • Master’s degree (PhD preferred) in Computer Vision, Automation, Robotics, or equivalent

  • At least 12 years of experience in relevant, industry or academy positions

  • Exceptional knowledge of Machine Learning and Computer Vision

  • Proficiency with one production language (C++ or Rust) and one prototyping language (Python)

  • Demonstrated ability to produce production-grade, highly optimized target code on resource constrained platforms

  • Demonstrated ownership of complex, production-grade perception pipelines based on vision (IR and RGB) in commercial systems

  • Experience with implementing and training machine learning models, including data quality topics

  • Strong understanding of control systems and state estimation

  • Experience with multi-modal sensor fusion (IMUs, radars, lasers, etc.)

  • Excellent interpersonal communication skills in written and spoken English; French or Dutch is a plus

  • You are a self-starter, able to work in a high-ambiguity environment and willing to take up new challenges

Preferred Qualifications

  • Experience with VIO/SLAM

  • Familiarity with ROS2 or iceoryx2

  • Experience with drones (fixed-wing, VTOL) or homing missiles

  • Experience with IR/thermal imaging and their calibration

  • Previous experience in the defense industry

What we offer

  • Attractive compensation

  • Year-end bonus

  • Stock Options Plan

  • Mobility Budget

  • 32 days of holidays

  • Meal vouchers

  • Private Health insurance

We are building a core team of hard-working people. If you want to join a company with tremendous impact and you are autonomous, creative and driven, we want to hear from you!

Sphere Defense offers attractive compensation, stock options, and a unique opportunity to change the global defense landscape.

This role is only open to candidates with right to work in Belgium. We cannot provide visa sponsorship at this time.

Skills Required

  • Master's degree in Computer Vision, Automation, Robotics, or equivalent
  • PhD
  • At least 12 years of relevant industry or academic experience
  • Proficiency with one production language (C++ or Rust)
  • Proficiency with one prototyping language (Python)
  • Ability to produce production-grade, highly optimized code for resource-constrained platforms
  • Ownership of complex, production-grade perception pipelines based on vision (IR and RGB) in commercial systems
  • Experience implementing and training machine learning models including data quality topics
  • Familiarity with ROS2 or iceoryx2
  • Understanding of control systems and state estimation
  • Experience with multi-modal sensor fusion (IMUs, radars, lasers, etc.)
  • Excellent written and spoken English communication skills
  • Right to work in Belgium (no visa sponsorship)
  • Experience with VIO/SLAM
  • Experience with drones (quadcopters, fixed-wing) or homing missiles
  • Experience with IR/thermal imaging and calibration
  • Previous experience in the defense industry
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The Company

What We Do

Sphere Defense is a Brussels-based defence-tech company specializing in the development of sovereign European countermeasures. They are building a jet-powered, AI-guided counter-UAS (Unmanned Aircraft System) interceptor designed to protect allied nations with effective and seamless technology. Founded by experienced drone industry experts, the company focuses on ensuring security through advanced interceptor systems to combat the evolving threat of unmanned aircraft systems.

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