Data Engineer IV

Position: ML Data Engineer IV
Location: Redmond, Washington (onsite)
Duration: 12+ months Contract
Job ID: 170642

Job Overview:
Client is seeking a highly skilled ML Data Engineer to join the team. This role focuses on processing and transforming complex multimedia data into machine learning datasets for researchers. The ideal candidate will work at the intersection of data engineering and applied machine learning, building robust data-processing pipelines and ensuring data quality for machine learning workflows.

Responsibilities:

• Design, develop, and maintain scalable data-processing pipelines for large volumes of multimedia data, including 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, including mathematical transformations, filtering, feature extraction, synchronization, and inference through ML models.
• Interface with internal tooling 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.

Qualifications:

• Bachelor's degree in a relevant technical field (e.g., Computer Science, Data Science) with 3 years of industry experience in machine learning or data engineering, or an equivalent combination of education and experience.
• Demonstrable programming experience in Python using common ML and data libraries (e.g., numpy, scipy, pandas).
• Proficiency in Linux and shell scripting.
• Working knowledge of audio, image, and video formats.

Preferred Experience:

• Experience using PyTorch or other Python machine-learning frameworks.
• Experience with relational and graph/NoSQL databases.
• Experience using REST APIs for data interactions.
• Experience working in a research environment.
• Strong mathematical background.

Top 3 Must-Have Skills:

• 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.
• Hands-on experience with real-world data processing.

Good to Have Skills:

• Knowledge of multimodal datasets (Audio/Video, Optitrack, multi-Camera/Sensor).
• Beginner knowledge of audio DSP and acoustics.

Typical Day in the Role:

• Meet with researchers and research assistants to understand issues and propose solutions.
• Analyze and process data to ensure high-quality datasets for machine learning.
• Collaborate in-office for hands-on problem-solving and innovation.

Performance Measurement:

• Ability to operate independently and drive results.
• Effectiveness in ensuring high-quality datasets for ML training.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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Pay Range: $80 - $85

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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