Machine Learning Engineer
About The Position
We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. The Perception team is looking for a machine learning engineer to develop cutting-edge Computer Vision modules to enhance the on-board perception of our robotic fleet, directly impacting safety and fleet efficiency. In this role, the ideal candidate will work on the full design and development cycle, including data collection, data set creation, machine learning models design and implementation.
Requirements
- Bachelor's Degree in Computer Science and/or Computer Engineering
- 3+ years with a Modern Computer Vision and Machine Learning background, specifically on 3D reconstruction, detection, classification, semantic segmentation
- Experience with training and deploying Deep Learning models
- Background in C++ and/or python
- Excellent communication skills
- Creative mindset willing to challenge the norms
Nice To Haves
- Experience with any of the following:
- Self-driving industry experience
- Experience delivering ML model integration in latency-sensitive systems
- Experience with CUDA code
Responsibilities
- Design and develop in-cabin Computer Vision ML modules for safety critical perception and monitoring applications
- Implement Perception model architectures and sophisticated training techniques
- Build high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have collected
- Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
