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Machine Learning Engineer
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Scorecard
Based on California data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$168,439 / year median in California
Job Description
Hands-on RF measurement experience:
S-parameter characterization, calibration, and de-embedding. Strong ML background with experience applying GNNs, Transformers, or Neural Operators to measurement or signal processing tasks. Background in Bayesian optimization applied to hardware calibration or measurement tuning. Familiarity with SCPI/IVI/PyVISA instrument control and RF measurement automation. Desired Qualifications Experience with advanced calibration techniques (multiline TRL, unknown thru, in-fixture, on-wafer probing). Background in load-pull, noise figure, or linearity characterization (IP3, P1dB) for RF device optimization. Familiarity with Keysight RF platforms (PNA, PNA-X, ENA) or simulation tools (ADS, RFPro). Publications or patents in ML for RF measurement, smart calibration, or adaptive test. Careers Privacy Statement Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws. The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.California Pay Range:
MIN $108,350- MAX $180,580
Note:
For other locations, pay ranges will vary by region. US Employees may be eligible for the following benefits:- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)
Qualifications:
Pursuing PhD in EE (RF/Microwave), Applied Physics, CS, or related field.Hands-on RF measurement experience:
S-parameter characterization, calibration, and de-embedding. Strong ML background with experience applying GNNs, Transformers, or Neural Operators to measurement or signal processing tasks. Background in Bayesian optimization applied to hardware calibration or measurement tuning. Familiarity with SCPI/IVI/PyVISA instrument control and RF measurement automation. Desired Qualifications Experience with advanced calibration techniques (multiline TRL, unknown thru, in-fixture, on-wafer probing). Background in load-pull, noise figure, or linearity characterization (IP3, P1dB) for RF device optimization. Familiarity with Keysight RF platforms (PNA, PNA-X, ENA) or simulation tools (ADS, RFPro). Publications or patents in ML for RF measurement, smart calibration, or adaptive test. Careers Privacy Statement Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws. The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.California Pay Range:
MIN $108,350- MAX $180,580
Note:
For other locations, pay ranges will vary by region. US Employees may be eligible for the following benefits:- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)