Applied Scientist - Deep Learning

About Incept AI

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 working with major restaurant chains to help elevate their customer service while providing major automation-led savings.

About the Role

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.
• Develop data pipelines and run experiments to continually improve our systems.

If you love applied deep learning and seeing your work delight customers at scale, if you believe that great applied science comes from strong empirical work, engineering, and innovative ideas, and if you want to be part of a tight-knit team achieving success in customer-obsessed AI, then you will love working at Incept.

Our Work Culture

We are a remote-first startup that values close collaboration and connection within our team. We 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. This position is not eligible for visa sponsorship.

Requirements

• PhD in a technical field or equivalent applied deep learning experience.
• Experience training deep learning models.

Bonus Qualifications

• Experience working with Pytorch.
• Experience in building neural audio processing models. If interested, please send a resume to umut at incept dot ai.