Sr Principal Systems Architect Engineer (26-162)
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting performance evaluations, and collaborating with cross-functional teams.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct performance evaluations and analyze results
- Collaborate with software engineers and system architects
- Stay updated with the latest research 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, TensorFlow, and cloud platforms like AWS or Google Cloud is preferred.
Qualifications
Must have strong analytical skills, be able to work independently, and have a passion for innovation in AI and robotics.
Skills
- Proficiency in Python and TensorFlow
- Experience with cloud platforms (AWS, Google Cloud)
- Knowledge of machine learning algorithms and techniques
- Excellent problem-solving and analytical skills
Benefits
Competitive salary, comprehensive health insurance, flexible working hours, professional development opportunities, and a supportive team environment.
Pay
$80,000 - $100,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM