Senior ML Audio Engineer — Edge AI (Remote)

Syntiant; United States; A distancia; USD 160.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

Life Insurance/AD&D

Disability coverage

FSA/HSA benefits

401K retirement plan

Employee Assistance Program (EAP)

Voluntary benefits

Descripción de la vacante

Syntiant Corp. is seeking a Senior Software Engineer to own and train audio models for edge devices within the Modeler team. You will develop and optimize models to run on constrained hardware, ensuring performance aligns with customer requirements and real-world use cases.

Ideal candidates bring strong C++/Python skills, hands-on experience with TensorFlow/PyTorch, and a track record of working in large codebases on embedded Linux. U.S. citizenship and security-eligibility are preferred.

Formación

• Bachelors Degree in Computer Science/Engineering or related field or equivalent experience.
• 3+ years developing and deploying ML models for audio applications.
• Strong C++ and Python experience.
• Experience with ML frameworks (TensorFlow, PyTorch).
• Experience working in large, complex codebases.
• Experience with Embedded Linux.
• U.S. Citizen required. Active security clearance or eligibility to get one is preferred.

Responsabilidades

• Own and train audio models to run on edge devices.
• Ensure models run to spec and meet customer needs.
• Apply machine learning in real world applications and drive edge AI devices.

Conocimientos

C++

Python

ML frameworks

Large codebases

Edge devices

Educación

Bachelor's Degree in CS/Engineering

Herramientas

TensorFlow

PyTorch

Embedded Linux

Descripción del empleo

Syntiant Corp. is seeking a Senior Software Engineer to own and train audio models for edge devices within the Modeler team. You will develop and optimize models to run on constrained hardware, ensuring performance aligns with customer requirements and real-world use cases.

Ideal candidates bring strong C++/Python skills, hands-on experience with TensorFlow/PyTorch, and a track record of working in large codebases on embedded Linux. U.S. citizenship and security-eligibility are preferred.