Senior Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Murata America. San Diego.
In listing Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning models that process radar signals and assess new deep learning architectures for radar data
- Create radar-data workflows from preprocessing and feature extraction through training, validation and performance tuning
- Analyze raw and processed radar representations, including time, frequency, range-Doppler and range-angle data
- Adapt detection, classification and tracking models for real-time embedded use, balancing latency, memory and power limits
- Validate algorithms, benchmark results and document work to support product development
What you bring
- A master's or doctorate in applied mathematics, statistics, electrical engineering, computer science or a related discipline
- At least three years of research developing machine learning models and applying statistics
- A solid grasp of radar principles and signal processing, with ML or deep learning experience on radar or similar sensor data
- Practical Python skills with PyTorch or TensorFlow and data tools such as NumPy, SciPy or pandas
Who this fits
This senior, hands-on role suits you if you can connect statistical methods with radar algorithms and explain technical ideas across disciplines. You’ll work on-site in San Diego and must provide after-hours support and coverage.
From the employer
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.
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.
Be an innovator - Join Sensoride!
Sensoride offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans