Senior Staff Engineer, Advanced Manufacturing (R4359)
U.S. Equal Employment Opportunity information
(Completion is voluntary and will not subject you to adverse treatment)
Shield AI provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About the role
Shield AI is a federal contractor or subcontractor subject to certain governmental recordkeeping and reporting requirements for the administration of civil right laws and regulations. Employment decisions are made on the basis of job-related criteria without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, age, genetic information, national origin, disability, military, or veteran status, or any other classification protected by applicable law.
Responsibilities
- Develop and implement advanced machine learning models for autonomous systems.
- Collaborate with cross-functional teams to integrate AI solutions into complex systems.
- Conduct research and development in cutting-edge AI technologies.
- Write and maintain high-quality code for AI applications.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- At least 3 years of relevant work experience in AI or related fields.
- Strong proficiency in Python, TensorFlow, and/or PyTorch.
- Experience with deep learning frameworks and algorithms.
- Excellent problem-solving skills and ability to work independently.
Qualifications
- Passion for developing innovative AI solutions.
- Ability to work in a fast-paced, dynamic environment.
- Good communication and interpersonal skills.
Skills
- Deep Learning
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Data Analysis
- Software Development
Benefits
Shield AI offers competitive compensation packages, comprehensive benefits, and a supportive work culture.
Pay
Compensation is commensurate with experience and qualifications.
Schedule
The position is full-time with standard business hours.