Software Engineer delivering MLOps solutions for Generative AI at DataGalaxy. Focusing on reliability and collaboration with product engineering teams in a hybrid environment.
About the role
- Machine Learning Engineer developing cutting-edge Computer Vision modules for robotic fleet safety and efficiency, focusing on data collection and model implementation in a hybrid work environment.
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.
- Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of our autonomous system
Requirements
- Bachelor's Degree in Computer Science and/or Computer Engineering with 4+ years of experience
- 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
- Bonus Qualifications:
- Experience with any of the following:
- Self-driving industry experience
- Experience delivering ML model integration in latency-sensitive systems
- Experience with CUDA code
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Training & Development
- Retirement Plan (401k, IRA)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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