Senior Machine Learning Engineer

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

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 has been driven by a simple vision - to make sensing smarter, faster, and more reliable. We create innovative technologies that help industries see and understand the world with unmatched clarity. From improving safety on the road to enabling the next generation of intelligent radar sensors, our solutions turn emerging ideas into reality.

Every day, we push the boundaries of what's possible, because we believe precision matters in mobility. The breakthroughs we're making today are shaping the smarter, safer, and more accurate sensors - and wherever accuracy matters, you'll find Sensoride at the center.

Why Consider This Job Opportunity

The Senior Machine Learning Engineer works on meaningful, real-world challenges where machine learning directly impacts the performance of automotive radar sensing products. This position works alongside a talented team developing cutting-edge technologies.

Workplace Policy

On-site from San Diego, CA.

After hours support and coverage are required.

What To Expect (Essential Job Responsibilities)

• Design and develop advanced machine learning models for radar signal processing.
• Evaluate novel ML and deep learning architecture 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 (e.g., 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 constraints such as latency, memory, and power.
• 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.
• Review and provide feedback on technical designs, research reports, and algorithm implementations.
• Represent the team or organization in internal technical forums, design reviews, and external workshops.
• Ensure adherence to best practices in research methodology, data management, and experimental reproducibility.
• Assist in defining coding standards, evaluation metrics, and benchmarking methodologies.
• Promote knowledge sharing through documentation and training sessions.
• Support hiring activities, including technical interviews and candidate evaluation.

What Is Required (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.
• After hours support and coverage are required.
• Strong understanding of radar fundamentals and signal processing concepts.
• Proven experience applying ML/DL techniques (e.g., CNNs, RNNs, Transformers, classical ML) to radar or similar sensing modalities.
• 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 such as Google Colab, AWS, or similar platforms.
• Problem-solving skills with the ability to work across multidisciplinary teams.
• Strong communication skills with the ability to explain complex technical concepts clearly.

How To Stand Out (Preferred Qualifications)

• Experience applying machine learning to radar, perception, robotics, or autonomous systems.
• Deep understanding of signal processing and sensor data analysis.
• Proven track record of designing ML models that deliver measurable product impact.
• Experience with time domain samples, data augmentation and field testing.
• Publications, patents, or noteworthy technical contributions in ML or sensing technologies.
• Curiosity, ownership, and a passion for building cutting-edge products with a high-performing team.

Other

Minimum Salary: $140,000

Maximum Salary: $178,000

We consider various factors in determining actual pay including your skills, qualifications, and experience. In addition to salary, this position is eligible for incentive awards based on individual and business performance as well as competitive benefits.

• Comprehensive benefits package including medical, dental, and vision insurance.
• Generous Paid Time Off including paid holidays and floating holidays.
• 401(k) employer match on retirement planning.
• Hybrid working schedule for eligible positions.
• Tuition reimbursement on approved programs.
• Flexible and health spending accounts.

Sensoride offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer -M/F/Disabilities/Veteran s