AI & ML Engineer - Audio Specialization AI & ML Baku​/Austin​/Remote

Polygraf AI closes $9.5M Seed Round led by Allegis Capital

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.

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.

• 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 Tensor Flow, 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.

• 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.

• Experience with mathematical encoding/decoding of different audio formats to wave forms.
• Passion in dissecting high-level code down to its mathematical roots to branch out an innovative approach.
• Experience combing through and rapidly implementing the state-of-the-art AI research artifacts.
• Experience in the whole development lifecycle of an AI product from ideation to production.

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.

Please provide information below andwe will send you a link to download the white paper.