Description

You will design and deploy machine learning systems for real-time digital signal processing applications.

This role is on-site.

Responsibilities

• Transform DSP and data science prototypes into functional machine learning models.
• Construct optimized data pipelines to feed machine learning models.
• Train, retrain, and monitor machine learning systems and models in production.
• Run machine learning experiments, document results, and ensure predictable algorithm outcomes.
• Collaborate with architects and engineers to integrate and deploy models.

Required Skills

• 6+ years of experience in machine learning or a related role.
• Deep understanding of probability, statistics, and machine learning algorithms.
• Proficiency with machine learning frameworks such as Keras, TensorFlow, SenseFi, PyTorch, or Tensor.
• Strong computer programming skills and understanding of DSP (RF and WiFi Channel State Information).
• Hands-on experience with Python, Java, or R.
• Experience working with RF/WiFi enabled SBC hardware.
• Knowledge of data structures, data modeling, and software architecture.
• Ability to identify data distribution shifts and environmental factors affecting model performance.

Preferred Skills

• Bachelor's Degree in Electronics, Computer Science, or a related field.
• Experience building and consuming APIs.
• Experience with Digital Signal Processing (DSP) implementations.

Key Skills

Education

Bachelor's Degree