Rose International
Date Posted: 09/24/2025
Hiring Organization: Rose International
Job Title: Machine Learning Data Engineer
Job Location: Redmond, WA, USA, 98052
Work Model: Onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 60.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: NoSQL, Python, SQL
Experience Desired: Knowledge of multimodal data sets (Audio/Video, Optitrack, multi-Camera/Sensor) (5 yrs)
Required Minimum Education: Bachelor’s Degree Job Description Required Education: Bachelor’s degree in a relevant technical field (e.g. Computer Science, Data Science) with industry experience in machine learning or data engineering; or equivalent combination of education and experience. Must Have: Strong knowledge of Python in the context of data engineering and data processing (SQL, data cleaning, anomaly detection) Working understanding of ML training - specifically how data quality impacts ML training outcomes from PyTorch workflows Demonstrable programming experience in Python using common ML and data libraries, i.e. numpy, scipy, pandas Proficiency in Linux and shell scripting Working knowledge of audio, image and video formats Nice To Have: Knowledge of multimodal data sets (Audio/Video, Optitrack, multi-Camera/Sensor) Beginner knowledge of audio (DSP, acoustics) Experience with relational and graph / NoSQL databases Experience using REST APIs for data interactions Experience working in a research environment Strong mathematical background Years Of Experience : 5+ years Story Behind The Need – Business Group & Key Projects : This person will be working directly in-between Audio ML Researchers and Data Collection partners to ensure we have high quality datasets by which to train next generation ML models and algorithms for our future devices Typical Day In The Role : Meet with researchers/research assistants to understand issues/solutions Analyze and process data We are looking for a ML Data Engineer to work at the intersection of data engineering and applied machine learning. You will be helping to process and transform our complex multimedia data into complete machine learning datasets suitable for consumption by researchers. We require someone who can take a hands-on approach to building data-processing pipelines, ensuring the data is robust and well-prepared for our machine learning workflows. Responsibilities Design, develop, and maintain scalable data-processing pipelines for large volumes of multimedia (audio, video) and sensor data (e.g. IMU), ensuring reliability and reproducibility. Gather and interpret processing requirements from stakeholders, translating them into practical technical solutions and devising novel approaches where needed. Perform diverse data-processing operations, from mathematical transformations and filtering to feature extraction, synchronization, and inference through ML models. Interface with various internal tooling and training frameworks to prepare raw data for machine learning, including validation, transformation, and quality assurance. Collaborate with machine learning researchers to integrate research prototypes into production pipelines. Ensure compliance with data governance, security, and relevant standards. Benefits : For information and details on employment benefits offered with this position, please visit our website. California Pay Equity : For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website. Rose International is an Equal Opportunity Employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law.
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Hiring Organization: Rose International
Job Title: Machine Learning Data Engineer
Job Location: Redmond, WA, USA, 98052
Work Model: Onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 60.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: NoSQL, Python, SQL
Experience Desired: Knowledge of multimodal data sets (Audio/Video, Optitrack, multi-Camera/Sensor) (5 yrs)
Required Minimum Education: Bachelor’s Degree Job Description Required Education: Bachelor’s degree in a relevant technical field (e.g. Computer Science, Data Science) with industry experience in machine learning or data engineering; or equivalent combination of education and experience. Must Have: Strong knowledge of Python in the context of data engineering and data processing (SQL, data cleaning, anomaly detection) Working understanding of ML training - specifically how data quality impacts ML training outcomes from PyTorch workflows Demonstrable programming experience in Python using common ML and data libraries, i.e. numpy, scipy, pandas Proficiency in Linux and shell scripting Working knowledge of audio, image and video formats Nice To Have: Knowledge of multimodal data sets (Audio/Video, Optitrack, multi-Camera/Sensor) Beginner knowledge of audio (DSP, acoustics) Experience with relational and graph / NoSQL databases Experience using REST APIs for data interactions Experience working in a research environment Strong mathematical background Years Of Experience : 5+ years Story Behind The Need – Business Group & Key Projects : This person will be working directly in-between Audio ML Researchers and Data Collection partners to ensure we have high quality datasets by which to train next generation ML models and algorithms for our future devices Typical Day In The Role : Meet with researchers/research assistants to understand issues/solutions Analyze and process data We are looking for a ML Data Engineer to work at the intersection of data engineering and applied machine learning. You will be helping to process and transform our complex multimedia data into complete machine learning datasets suitable for consumption by researchers. We require someone who can take a hands-on approach to building data-processing pipelines, ensuring the data is robust and well-prepared for our machine learning workflows. Responsibilities Design, develop, and maintain scalable data-processing pipelines for large volumes of multimedia (audio, video) and sensor data (e.g. IMU), ensuring reliability and reproducibility. Gather and interpret processing requirements from stakeholders, translating them into practical technical solutions and devising novel approaches where needed. Perform diverse data-processing operations, from mathematical transformations and filtering to feature extraction, synchronization, and inference through ML models. Interface with various internal tooling and training frameworks to prepare raw data for machine learning, including validation, transformation, and quality assurance. Collaborate with machine learning researchers to integrate research prototypes into production pipelines. Ensure compliance with data governance, security, and relevant standards. Benefits : For information and details on employment benefits offered with this position, please visit our website. California Pay Equity : For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website. Rose International is an Equal Opportunity Employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law.
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