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Incept AI is building neural audio processing systems and foundation models to solve the last-mile problem in Voice AI. The company focuses on real-world applications, starting with drive-thru and phone automation for restaurants, where they have deployed the most accurate order-taking Voice AI assistant with major restaurant chains.
As an Applied Scientist in Deep Learning, you will own the development of state-of-the-art audio processing deep learning models at various scales. Your responsibilities include fine-tuning and post-training foundation models, designing benchmarks aligned with customer needs, building robust data pipelines, and running systematic experiments to improve system performance.
The role is ideal for someone who combines strong empirical rigor with engineering excellence and novel research ideas. You will work on production systems that directly impact customer experience and business outcomes, collaborating with a team of PhD applied scientists and software engineers in a fully distributed, remote-first environment.
The company values tight collaboration despite being distributed, and is open to candidates across all US locations authorized to work in the United States. This is an early-stage startup opportunity where your contributions will have outsized impact on the company's trajectory and product success.
