Sentinel - Principal Material Process Engineer - 17331*
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex software systems.
Responsibilities
- Design and implement machine learning models for autonomous systems.
- Collaborate with cross-functional teams to integrate models into software systems.
- Analyze system performance and make necessary adjustments.
- Stay updated with the latest advancements in AI and machine learning.
Requirements
Required qualifications include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, C++, and TensorFlow is preferred.
Qualifications
Must have strong analytical skills and be able to work independently or as part of a team. Proficiency in Linux and familiarity with cloud computing platforms like AWS or Google Cloud is beneficial.
Skills
- Strong programming skills in Python, C++, and/or Java.
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
- Experience with deep learning techniques and neural networks.
- Understanding of computer vision and robotics.
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive work environment.
Pay
$80,000 - $120,000 annually.
Schedule
Full-time, Monday through Friday, with occasional evening and weekend work as needed.