Senior ML Engineer – Radar Sensing & Real-Time AI

Murata Manufacturing Co., Ltd.

San Diego (CA)

On-site

USD 140,000 - 178,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement match
Hybrid working schedule
Tuition reimbursement
Flexible health spending accounts

Job summary

Sensoride is seeking a Senior Machine Learning Engineer to advance radar sensing technologies for automotive applications. The role focuses on designing ML models for radar signal processing, evaluating architectures, and building end-to-end pipelines from data preprocessing to deployment.

You will work with a multidisciplinary team to translate research outcomes into scalable algorithms, optimize for real-time embedded deployment, and contribute to product development through rigorous

Qualifications

  • Master's or PhD in Applied Mathematics, Statistics, Electrical Engineering, Computer Science, or a related field.
  • 3+ years' research experience in developing machine learning models and applied statistics.
  • Strong understanding of radar fundamentals and signal processing concepts.
  • Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
  • Experience deploying ML models for radar applications in real-world contexts.

Responsibilities

  • Design and develop advanced ML models for radar signal processing.
  • Evaluate novel ML architectures for radar data.
  • Develop end-to-end ML pipelines (preprocessing, feature extraction, training, validation, deployment).
  • Model radar data representations (time-domain, frequency-domain, range-Doppler, range-angle).
  • Bridge theory and practice by translating research findings into scalable algorithms.
  • Support product development with validation, benchmarking, and documentation.

Skills

Python
PyTorch
TensorFlow
NumPy
SciPy
Pandas
CNN
RNN
Transformers
Signal processing
Statistics
ML

Education

Masters or PhD in related field

Tools

Google Colab
AWS

Job description

Sensoride is seeking a Senior Machine Learning Engineer to advance radar sensing technologies for automotive applications. The role focuses on designing ML models for radar signal processing, evaluating architectures, and building end-to-end pipelines from data preprocessing to deployment.

You will work with a multidisciplinary team to translate research outcomes into scalable algorithms, optimize for real-time embedded deployment, and contribute to product development through rigorous

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