Incept AI is solving the last mile problem in Voice AI. Our team of PhD applied scientists and software engineers builds neural audio processing systems, audio-processing foundation models, and agentic AI workflows that make Voice AI reliable and truly useful in the real world.
Our first application is the lucrative drive-thru and phone automation market for restaurants. We have built the most accurate order-taking restaurant Voice AI assistant in the world, and are live with major restaurant chains to help elevate their customer service while providing major automation-led savings.
What you will do
As an Applied Scientist in our early stage startup team, your job will be to build state-of-the-art audio processing deep learning models at small and larger scales, fine-tune and post-train foundation models, build benchmarks that align with customer needs, build data pipelines, and run experiments to continually improve our systems.
Who will love this role
If you love applied deep learning and seeing your work delight customers at scale, if you believe that great applied science comes from great empirical work and great engineering along with great new ideas, and if you would like to be part of a tight-knit team getting an example-setting win in customer-obsessed AI, you will love working at Incept.
Requirements
- PhD in a technical field or equivalent applied deep learning experience.
- Experience training deep learning models.
Bonus
- Experience working with Pytorch.
- Experience building neural audio processing models.
How we work
We are a remote-first startup that values tight collaboration and connection with each other, and have created a unique fully distributed work culture based on a virtual office. This allows us to be open to candidates in all U.S. locations who are authorized to work in the United States.