Senior Machine Learning Engineer
Murata America•San Diego, CA
•$140,000 - $178,000•Onsite
About The Position
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.
Requirements
- 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 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.
Nice To Haves
- 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.
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.
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.
- Tuition reimbursement on approved programs.
- Flexible and health spending accounts.
- Talent Development program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
