Senior ML Engineer: Radar & Real-Time AI (Hybrid)

Murata; San Diego (CA); On-site; USD 140,000 - 178,000; Full time

Benefits offered by this job

Comprehensive benefits package

Hybrid working schedule

Tuition reimbursement

Flexible health spending accounts

Talent Development program

PTO and holidays

401(k) company match

Job summary

Murata seeks a Senior Machine Learning Engineer to advance radar sensing technologies used in automotive and industrial radar systems. You will design and optimize ML models for radar signal processing, build end-to-end data pipelines, and validate algorithms across time-, frequency-, and Doppler-domain representations.

The role requires deep knowledge of ML/DL (CNNs, RNNs, Transformers) and signal processing, with on-site work in San Diego.

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 such as PyTorch or TensorFlow; experience with data analysis tools (NumPy, SciPy, pandas).
• Ability to train, build, deploy, and manage machine learning models for radar applications on platforms like Google Colab, AWS, or similar.
• Problem-solving skills with the ability to work across multidisciplinary teams.
• Strong communication skills with the ability to explain complex technical concepts clearly.

Responsibilities

• Design and develop advanced machine learning models for radar signal processing.
• Evaluate novel ML and deep learning architectures for radar data.
• Develop end-to-end ML pipelines, including data preprocessing, feature extraction, model training, validation, and performance optimization for radar data.
• Analyze and model raw and processed radar data (time-domain, frequency-domain, range–Doppler, range–angle).
• Drive innovation by evaluating and implementing state-of-the-art ML and deep learning techniques for radar-based detection, classification, and tracking.
• Optimize models for real-time and embedded deployment, considering latency, memory, and power constraints.
• Bridge theory and practice by translating research outcomes into scalable, real-world applicable algorithms.
• Support product development through algorithm validation, performance benchmarking, and documentation.
• Strong statistical and mathematical skills to act as the in-house mathematician/statistician.

Skills

Radar fundamentals

Signal processing

Problem solving

Communication

Education

Master’s or PhD in Applied Mathematics, Statistics, Electrical Engineering, Computer Science, or related field

Tools

Python

PyTorch

TensorFlow

NumPy

SciPy

pandas

Job description

Murata seeks a Senior Machine Learning Engineer to advance radar sensing technologies used in automotive and industrial radar systems. You will design and optimize ML models for radar signal processing, build end-to-end data pipelines, and validate algorithms across time-, frequency-, and Doppler-domain representations.

The role requires deep knowledge of ML/DL (CNNs, RNNs, Transformers) and signal processing, with on-site work in San Diego.