Machine Learning Engineer

Edison Smart®; San Francisco (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Life, AD&D, and disability insurance

HSA/FSA options

Employee Assistance Program

Job summary

Edison Smart seeks a Senior Software Engineer to develop and deploy machine learning models for audio applications running on edge devices. You will work across ML, software, and embedded systems to meet performance and customer requirements.

The role emphasizes building efficient edge solutions, collaborating with engineering teams, and contributing to a low-power AI hardware stack. On-site in the Bay Area with competitive compensation.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years developing and deploying ML models for audio applications.
• Strong C++ and Python skills.
• Experience with TensorFlow, PyTorch, or similar ML frameworks.
• Experience working with large, complex codebases.
• Experience with Embedded Linux.
• Active security clearance or eligibility to obtain one.

Responsibilities

• Develop, train, and optimize audio ML models for edge deployment.
• Deploy models to resource-constrained embedded devices.
• Work closely with engineering and customer teams to meet application requirements.
• Develop and maintain software within complex codebases.
• Optimize model performance for real-world edge AI applications.

Skills

C++

Python

Audio ML

Embedded Linux

Large codebases

Security clearance

Education

Bachelor's degree in Computer Science or Engineering

Tools

TensorFlow

PyTorch

Job description

Job Title: Senior Software Engineer – Edge AI / Audio ML

Location: Bay Area / On-site

Salary: $180,000-200,000 + Variable Bonus

About the Company

An innovative AI semiconductor company developing ultra-low-power hardware and software solutions for edge AI applications across consumer and industrial markets, including audio, speech, vision, and sensor technologies.

About the Role

We're seeking a Senior Software Engineer to develop and deploy machine learning models for audio applications running on edge devices. You'll work across ML, software, and embedded systems to ensure models meet performance requirements and customer needs.

Responsibilities

• Develop, train, and optimize audio ML models for edge deployment.
• Deploy models to resource-constrained embedded devices.
• Work closely with engineering and customer teams to meet application requirements.
• Develop and maintain software within complex codebases.
• Optimize model performance for real-world edge AI applications.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years developing and deploying ML models for audio applications.
• Strong C++ and Python skills.
• Experience with TensorFlow, PyTorch, or similar ML frameworks.
• Experience working with large, complex codebases.
• Experience with Embedded Linux.
• Active security clearance or eligibility to obtain one.

Preferred Qualifications

• Experience with edge AI, embedded ML, speech recognition, or audio processing.
• Company-paid medical, dental, and vision options.
• Life, AD&D, and disability insurance.
• HSA/FSA options.
• Employee Assistance Program and additional voluntary benefits.