Senior Machine Learning Engineer
MurataAbout the role
Murata is a global leader in the design, manufacture and supply of advanced electronic materials, leading edge electronic components, and multi-functional, high-density modules. Murata innovations can be found in a wide range of applications from mobile phones to home appliances, and automotive applications to energy management systems and healthcare devices.
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.
Miscellaneous Job Responsibilities
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.
Perks
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.
Talent Development program.
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
- 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
- Bridge theory and practice by translating research outcomes into scalable algorithms
- Support product development through algorithm validation, performance benchmarking, and documentation
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
- Proven experience applying ML/DL techniques to radar or similar sensing modalities
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Ability to train, build, deploy, and manage machine learning models for radar applications
- Strong communication skills with the ability to explain complex technical concepts clearly
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
- Talent Development program
Skills mentioned
About Murata
Welcome to our community. We are a global leader in the design, manufacturing and supply of cutting-edge electronic components, modules, applications. Though often unseen, our products are everywhere! They can be found in a wide array of electronic devices, such as mobile phones, computers, cars, healthcare equipment and home appliances. As an Innovator in Electronics, Murata globally will continue to contribute to the advancement of society and help shape the future of electronics. Together with all our stakeholders, we will continue to create a safer, more sustainable, and efficiently connected world. Our Core Values: 💫 Customer Satisfaction 💫 Employee Satisfaction 💫 Innovative & Sustainable 💫 Trustworthy & Reliable Our Social Media Policy: https://www.murata.com/en-global/social Contact Information: If you have any questions or inquiries to us, please click below. https://www.murata.com/en-global/contactform