Senior ML Engineer - Real-Time Radar AI

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

Benefits offered by this job

Medical/Dental/Vision

Hybrid schedule

401(k) employer match

Tuition reimbursement

Flexible health spending accounts

Talent Development program

Job summary

Sensoride in San Diego, CA is seeking a Senior Machine Learning Engineer to design and deploy advanced ML models for automotive radar sensing. You will develop end-to-end pipelines, evaluate novel architectures, and optimize for real-time, embedded deployment.

The role requires a Master’s or PhD in a related field, 3+ years of ML research, strong radar fundamentals, and proficiency in Python with PyTorch or TensorFlow. On-site with after-hours support.

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).

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 representations).
• 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 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

ML model development

Radar signal processing

Statistical analysis

Python programming

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

Sensoride in San Diego, CA is seeking a Senior Machine Learning Engineer to design and deploy advanced ML models for automotive radar sensing. You will develop end-to-end pipelines, evaluate novel architectures, and optimize for real-time, embedded deployment.

The role requires a Master’s or PhD in a related field, 3+ years of ML research, strong radar fundamentals, and proficiency in Python with PyTorch or TensorFlow. On-site with after-hours support.