Machine Learning Engineer - Fully remote - $250k + Equity – Copyright Protection for Music and[...]
Machine Learning Engineer - Fully remote - $250k + Equity – Copyright Protection for Music and content
Copyright detection and IP Protection in Music and Content
At the intersection of voice, video, identity, and machine learning.
We’re looking for someone who sees the human voice as more than just sound. To you, it’s a signature—an intricate, expressive, and deeply personal form of identity. In a world where generative AI is reshaping how we create and consume audio and video, we believe your likeness deserves to be understood, protected, and respected. If you’ve spent time building and training machine learning models—especially in the video or audio domain—and you’re driven by the idea of preserving content authenticity, this could be your next mission.
This is not a typical MLE role. You’ll be joining a team of exceptional minds working at the frontier of audio and video intelligence. Our collaborators include professors from Stanford, researchers from QMUL and contributors from other pioneering institutions. Together, we’re developing systems that can identify, analyze, and attribute vocal and visual signatures with precision—technologies that will help define the future of rights and creative ownership.
We’re fully remote and open to candidates based in the United States or the United Kingdom. You’ll be working on complex, high‑impact challenges: designing and building models that can distinguish between real and synthetic voices, building scalable systems for fingerprinting, and contributing to research that will shape the ethical and technical standards of this emerging field.
What sets this opportunity apart is the mission. We’re not just building tools—we’re building trust. In an era where your likeness and sound can be cloned, manipulated, and misused, we believe in creating technology that empowers creators and protects what makes them unique. You’ll be part of a team that values deep thinking, creative problem‑solving, and a shared commitment to artistic integrity.
If you’re passionate about machine learning, fascinated by the science of video and voice, and motivated by the chance to make a real‑world impact, we’d love to hear from you.
Apply now with your Resume, and let’s discuss how you can contribute to our exciting journey!
Venchr is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Seniority level
• Mid‑Senior level
Employment type
• Full‑time
Job function
• Engineering, Research, and Information Technology
Industries
• Software Development, Technology, Information and Media, and Musicians
Apply tot his job
Apply To this Job
Copyright detection and IP Protection in Music and Content
At the intersection of voice, video, identity, and machine learning.
We’re looking for someone who sees the human voice as more than just sound. To you, it’s a signature—an intricate, expressive, and deeply personal form of identity. In a world where generative AI is reshaping how we create and consume audio and video, we believe your likeness deserves to be understood, protected, and respected. If you’ve spent time building and training machine learning models—especially in the video or audio domain—and you’re driven by the idea of preserving content authenticity, this could be your next mission.
This is not a typical MLE role. You’ll be joining a team of exceptional minds working at the frontier of audio and video intelligence. Our collaborators include professors from Stanford, researchers from QMUL and contributors from other pioneering institutions. Together, we’re developing systems that can identify, analyze, and attribute vocal and visual signatures with precision—technologies that will help define the future of rights and creative ownership.
We’re fully remote and open to candidates based in the United States or the United Kingdom. You’ll be working on complex, high‑impact challenges: designing and building models that can distinguish between real and synthetic voices, building scalable systems for fingerprinting, and contributing to research that will shape the ethical and technical standards of this emerging field.
What sets this opportunity apart is the mission. We’re not just building tools—we’re building trust. In an era where your likeness and sound can be cloned, manipulated, and misused, we believe in creating technology that empowers creators and protects what makes them unique. You’ll be part of a team that values deep thinking, creative problem‑solving, and a shared commitment to artistic integrity.
If you’re passionate about machine learning, fascinated by the science of video and voice, and motivated by the chance to make a real‑world impact, we’d love to hear from you.
Apply now with your Resume, and let’s discuss how you can contribute to our exciting journey!
Venchr is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Seniority level
• Mid‑Senior level
Employment type
• Full‑time
Job function
• Engineering, Research, and Information Technology
Industries
• Software Development, Technology, Information and Media, and Musicians
Apply tot his job
Apply To this Job