Data Engineer IV

SGS_JOB_2541

Engineering
 Washington
Machine Learning Datasets
Data Engineer
Data Processing
Python
PyTorch

Contract - 12 Months

Location (mandatory): Redmond WA We bring together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. In particular, the RL Research Audio team is focused on two goals: creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart and allow them to converse in even the most difficult listening environments. We are looking for a contract 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.

Job 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 such as dataset management systems 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.

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
  • Knowledge of multimodal data sets (Audio/Video, Opti track, multi-Camera/Sensor)
  • Beginner knowledge of audio (DSP, acoustics)

Education/Experience:

  • 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 equivalent combination of education and experience.

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