Join Our Pioneering AI Team as an Applied AI Engineer - Audio at Reality Defender

About Reality Defender
Reality Defender is at the forefront of cybersecurity innovation, specializing in the detection of deepfake and AI-generated content. As a proud graduate of Y Combinator and Comcast NBCUniversal LIFT Labs, and with investment from DCVC, we leverage over two decades of leadership experience in the dynamic fields of machine learning, data science, and cybersecurity. Our advanced technology shields against both current and emerging threats, ensuring unparalleled protection for governmental and enterprise spheres.

Role and Responsibilities

As an Applied AI Engineer - Audio, you will be essential in enhancing the capabilities of our cutting-edge security platform. Your primary responsibilities will include:

• Training and fine-tuning deep learning models using PyTorch, tailored to new datasets and specific client needs.
• Ensuring the highest quality standards through rigorous model monitoring and quality assurance of deployed models.
• Automating ML workflows and integrating continuous updates and delivery processes for client-facing models.
• Optimizing and compressing models to boost inference speeds without compromising on reliability.
• Implementing model obfuscation techniques and conducting vulnerability assessments to fortify model security.
• Working collaboratively with our AI and Engineering teams to meet both infrastructure and performance benchmarks.

About You

To excel in this role, you should have:

• A Master's degree in Computer Science with a specialization in Machine Learning/Deep Learning (ML/DL).
• At least 2 years of hands-on coding experience in Python, demonstrating robust programming capabilities.
• Minimum 2 years of professional experience with model training and fine-tuning in PyTorch.
• [Preferred] Experience in fine-tuning large foundational models like wav2vec, HuBERT for downstream classification tasks.
• Proficiency in automated testing and familiarity with CI/CD practices specific to machine learning workflows.
• A solid understanding of machine learning and data science fundamentals.
• Excellent team collaboration skills, a positive attitude, and effective communication abilities.

At Reality Defender, we not only offer a stimulating work environment but also an opportunity to be part of a team dedicated to creating pioneering solutions in the fight against digital fraud. If you are passionate about pushing the boundaries of AI and cybersecurity, we would love to hear from you.

Apply Now

Embark on an exciting career path where innovation meets security. Submit your application today to become an Applied AI Engineer - Audio at Reality Defender and take a significant step towards safeguarding the digital landscape.