Senior Engineer, Avionics Thermal Engineering (R5298)

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 features.
• Contribute to the continuous improvement of Shield AI's technology stack.
• Support the development of software tools and infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• At least 3 years of relevant work experience in machine learning or related fields.
• Strong proficiency in Python, Java, or C++.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Knowledge of cloud 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 solutions.
• Ability to work in a fast-paced, dynamic environment.
• Strong communication and interpersonal skills.
• Experience with data analysis and visualization tools.

Skills

• Deep understanding of machine learning algorithms and techniques.
• Experience with natural language processing (NLP).
• Knowledge of computer vision and image recognition.
• Experience with reinforcement learning.

Benefits

• Competitive salary based on experience and qualifications.
• Flexible working hours and remote work options.
• Health insurance coverage.
• Retirement savings plan.
• Professional development opportunities.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time position with flexible working hours.

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