Remote Applied Scientist - Deep Learning (Audio AI)

Incept; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Incept is seeking an Applied Scientist to build cutting-edge audio processing deep learning models for voice AI applications. Working with a team of PhD scientists and engineers, you will focus on automating drive-thru and phone systems in restaurants.

This fully remote position allows you to contribute your deep learning expertise while collaborating closely with a dynamic team. A PhD or equivalent experience in applied deep learning is required, and experience with Pytorch is a plus.

Qualifications

• PhD or equivalent applied deep learning experience is required.
• Experience with Pytorch is a bonus.
• Experience building neural audio processing models is preferred.

Responsibilities

• Build state-of-the-art audio processing deep learning models.
• Run experiments to continually improve our systems.
• Build benchmarks that align with customer needs.

Skills

Applied deep learning

Collaboration

Empirical work

Education

PhD in a technical field or equivalent

Tools

Pytorch

Job description

Incept is seeking an Applied Scientist to build cutting-edge audio processing deep learning models for voice AI applications. Working with a team of PhD scientists and engineers, you will focus on automating drive-thru and phone systems in restaurants.

This fully remote position allows you to contribute your deep learning expertise while collaborating closely with a dynamic team. A PhD or equivalent experience in applied deep learning is required, and experience with Pytorch is a plus.