The idea of applying machine learning to cutting-edge audio technology interests you. You’re curious and excited about audio processing, subsystems, and mathematics. You aren't scared by the idea of coding in assembly or hyper-optimizing for efficiency. You care deeply about quality, are proud of your work, and love to learn new things. You've been known to read technical white papers in your free time.
If this sounds like you, we have a fantastic opportunity for you to sink your teeth into. You will be on the ground floor of the next critical phase of High Fidelity. You will be an owner and driver of code and will directly influence our strategy.
We are seeking a talented and experienced Senior ML/AI Engineer to join High Fidelity. You will be responsible for designing, implementing, and optimizing advanced machine learning models to drive the next generation of our audio technology. You will work alongside engineering and product teams who are passionate about transforming the way digital audio processing is experienced in collaboration and communication applications.
Design and develop software solutions for digital audio processing that use machine learning to solve problems such as background noise, echo, and voice morphing.
Perform testing and quality assurance to ensure that software products meet performance, quality, and functionality requirements.
Research and stay current with industry trends and best practices in digital audio processing and machine learning.
Optimize models for deployment in a wide range of target architectures including desktop, cloud, browsers, and mobile devices.
Develop and implement algorithms and software for efficient real-time inference.
Monitor and evaluate the performance of models in a production context and optimize them for accuracy, speed, and compute resource efficiency.
Design and implement custom tooling and strategies for the development and deployment of optimized deep-learning models
PhD. in engineering or another technical field (computer science, engineering, or equivalent)
Strong understanding of audio processing concepts, including signal processing, audio feature extraction, and audio analysis.
Expert-level programming skills in Python, C++, or related programming languages.
Deep experience with machine learning frameworks such: Keras, Tensorflow, Pytorch, Numpy, Matlab, and other ML frameworks and tools.
Strong background in deep learning and optimization techniques. Good understanding of the theoretical foundations of AI algorithms.
Experience with model quantization and SIMD implementation to optimize inference performance in constrained environments is a plus.
Strong ability to be both an individual contributor and work well in a team environment.
Excellent communication skills.
This is a full-time position with a competitive salary and benefits. If you are passionate about digital audio processing and machine learning and want to work with a dynamic and innovative team, we look forward to meeting you.
Work fully remote
Smart, engaged co-workers who value time with each other and support each other’s growth
Fully covered medical/vision/dental package for employees (50% paid by company for dependents)
Competitive base salary
Flexible paid time off (PTO) program
With the release of the Oculus and the promise of mass consumer-adoption of VR, High Fidelity set out to build the metaverse infrastructure that would support the next generation of user-generated virtual worlds and experiences. The company blazed trails for the digital worlds of tomorrow — including how these worlds will sound.
The Next Chapter
High Fidelity is more than our company name — it’s our credo. We have witnessed and experienced the transformational power of delivering high fidelity sound. We believe audio technologies should be designed for how the human brain is wired to process auditory information so people can feel as engaged with a digital experience as they would with a physical one. The portion of our lives that are spent wearing headphones should mirror the sonic richness we experience in the natural world.
If your team is too large, too slow, or more concerned with cutting costs than building cutting-edge technology, we might be exactly what you're looking for. We’re a small, seasoned team that trusts one another to be the expert in their domain and who are relentless about getting the job at hand done. Together, our mission is to connect people with extraordinary digital audio.