AI & ML Engineer – Computer Vision Specialization

AI & ML

AI & ML Engineer – Computer Vision Specialization

Why Polygraf AI?

At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards. Trust in our commitment to building this future with you.

About the Role

Are you passionate about pushing the boundaries of AI technology and its applications in the realm of audio? We are at the forefront of innovation in AI Governance, and we are looking for talented individuals who are excited about shaping the future of AI. As an AI Engineer with an Audio specialization, at Polygraf, you’ll have the unique opportunity to work on cutting-edge projects that leverage artificial intelligence to enhance the Audio experience in various domains, including entertainment and communication. You will collaborate with a diverse and talented team of engineers, data scientists, and researchers to develop innovative solutions that redefine the AI landscape.

You have

Bachelor’s degree or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
Expertise in Python, along with a harmony of TensorFlow, PyTorch, or similar frameworks in the AI/ML field.
Knowledge of AI technologies and approaches, specifically related to identifying AI-generated or enhanced audio content.
An appetite for knowledge and the courage to push boundaries and challenge the status quo.
Team Spirit: A collaborative mindset that thrives in a fast-paced, solution-oriented environment.
A commitment to the Polygraf creed of Zero Trust, ensuring that data integrity remains unbreachable under your watch.

What You'll Do

Innovate: Design, implement, and perpetually optimize cutting-edge AI models to unmask and neutralize deepfake audio content.
Collaborate: Work closely with product managers, scientists, full-stack engineers, and designers to integrate audio capabilities seamlessly into our suite of user-facing AI solutions.
Stay Ahead: You will apply the latest advances in deep learning and machine learning on various business and ML domains.
Experiment: Pilot new methodologies to distinguish AI-generated noise from authentic audio.

Nice to have

Experience working with diverse transformer architectures/attention mechanisms.
Knowledge of and experience in classical/novel ML models for Computer Vision ranging from simple CNNs to Vision Transformers and Generative AI.
Experience in the whole development lifecycle of an AI product from ideation to production.
Experience combing through and rapidly implementing the state-of-the-art AI research artifacts.

As an equal opportunity employer, we highly value diversity and inclusion. We recognize that a diverse team brings unique perspectives, fosters ongoing innovation, and deepens our connection to the global community we serve. If you’re enthusiastic about spearheading the next era of generative AI and leaving a profound impact on how individuals and brands create, we’re eager to have you join our team.

AI & ML