Senior Mechanical Engineer, Hardware Test - X-BAT (R5271)
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.
- Contribute to the design and testing of AI algorithms for real-world applications.
- Stay updated with the latest research and trends in artificial intelligence and machine learning.
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 development and deployment.
- Strong proficiency in Python, TensorFlow, and other relevant programming languages.
- Experience with deep learning frameworks such as PyTorch or Keras.
- Knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Qualifications
- Passion for developing cutting-edge AI technologies.
- Ability to work in a fast-paced, dynamic environment.
- Strong communication and interpersonal skills.
- Experience with ethical considerations in AI development.
Skills
- Advanced knowledge of machine learning algorithms.
- Experience with natural language processing (NLP).
- Understanding of computer vision techniques.
- Knowledge of reinforcement learning.
- Experience with data preprocessing and feature engineering.
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 flexible working hours.
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