Senior Staff Technical Program Manager (R5270)

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.

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 software development.
• Strong proficiency in Python, Java, or C++.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Excellent problem-solving skills and ability to work independently.

Qualifications

• Passion for developing cutting-edge AI solutions.
• Ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills.

Skills

• Deep Learning
• Machine Learning
• Python
• Java
• C++
• TensorFlow
• PyTorch

Benefits

Shield AI offers a competitive salary and comprehensive benefits package including health insurance, retirement plans, and paid time off.

Pay

The salary range for this position is $80,000 - $120,000 annually, depending on experience.

Schedule

Full-time position with flexible working hours.