Sign upLog in
See more jobs

Senior / Mid-Level Machine Learning Engineer (Audio Applications)

NR Consulting LLC

  • Fremont, CA
  • 30+ days ago
  • $110,000–$300,000 Per Year

Highlights

Responsibilities: Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing. Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.

Numbers & Facts

LocationFremont, CA
Salary$110,000–$300,000 Per Year

Description

Title: Senior / Mid-Level Machine Learning Engineer (Audio Applications)
Location: Fremont, CA
Type: Fulltime

Responsibilities:
  • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
  • Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
  • Work closely with hardware and software teams to integrate ML models into production systems.
  • Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
  • Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
  • Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
  • Provide technical leadership and mentorship to junior engineers.
  • Publish research findings, present at conferences, and contribute to open-source projects when applicable.

Requirements:
  • 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
  • Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
  • Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
  • Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
  • Ability to work independently and collaboratively in a fast-paced startup environment.
  • Experience in one or more of the following areas considered a strong plus:
  • Understanding of ML compiler and runtime design.
  • Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
  • Familiarity with hardware acceleration techniques.
  • Experience in embedded system development.

Similar Jobs

See more jobs