Senior Manager, Mechanical Engineering - Avionics (R4416)
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 design and test new AI solutions.
- Contribute to the continuous improvement of Shield AI's AI infrastructure.
- Support the development of ethical AI practices within the organization.
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 research and development.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of machine learning algorithms and techniques.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Qualifications
- Passion for advancing the state-of-the-art in AI and autonomous systems.
- Ability to work in a fast-paced, dynamic environment.
- Experience with cloud-based platforms and services.
- Knowledge of ethical considerations in AI development.
Skills
- Python programming.
- Knowledge of Kubernetes and containerization technologies.
- Experience with data preprocessing and model evaluation.
- Good communication and presentation skills.
Benefits
- Competitive salary commensurate with experience.
- Flexible working hours.
- Professional development opportunities.
- Health insurance coverage.
- Retirement savings plan.
Pay
Salary range: $80,000 - $120,000 annually.
Schedule
Full-time position with a flexible schedule.