Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Machine Learning Engineer
San Diego, CA, US
Live, first seen by us 69 days ago- Pay
Multiple pay statements — pay source
Other Minimum Salary: $140,000 Maximum Salary: $178,000
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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and develop ML models for radar signal processing
Build end-to-end ML pipelines for radar data
Optimize models for real-time and embedded deployment
Develop radar-based detection, classification, and tracking methods
Translate research into scalable real-world algorithms
From the employer’s posting
Design and develop advanced machine learning models for radar signal processing.
Develop end-to-end ML pipelines, including data preprocessing, feature extraction, model training, validation, and performance optimization for radar data.
Optimize models for real-time and embedded deployment, considering constraints such as latency, memory, and power.
radar-based detection, classification, and tracking.
Bridge theory and practice by translating research outcomes into scalable, real-world applicable algorithms.
Education & alternatives
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.
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202669 days ago
- Recorded sightings
- 40
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 69
Similar jobs usually come down between day 6 and day 69.
From 4,339 similar postings that came down. Coming down is not always a hire.
Murata America is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- NumPy
- pandas
- PyTorch
- SciPy
- TensorFlow
Where the posting names them
- 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.
- 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.
Your next step
Complete your application on jobs.murata.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Other Minimum Salary: $140,000 Maximum Salary: $178,000
More source context
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.
- Location & working pattern
San Diego, CA, US
Workplace Policy On-site from San Diego, CA. After hours support and coverage are required.
More source context
- 401(k) employer match on retirement planning. - Hybrid working schedule for eligible positions. - Tuition reimbursement on approved programs.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.