Data Engineer

Santa Monica, California, United States

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Flawless

Flawless is pioneering the generative AI revolution in filmmaking with cinematic quality, AI-driven tools for filmmakers, entertainment companies and distributors

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Data Science Team

Ethical, licensed, and balanced data is central to our AI research. The data team is responsible to source, annotate, curate, and deploy large multi-modal datasets, especially in the film media domain. The team works with research (core, applied (ML), and internal light-stage team), engineering, and film innovation teams to understand data requirements and deliver high-quality datasets that power next-generation AI models for their commercial deployment. Team is also responsible for data versioning, data dev-ops, and persistent storage.

Responsibilities

  • Build data collection, labeling, and generation pipelines.
  • Research and implement techniques to improve data collection.
  • Implement data sampling and improvement methods.
  • Liaise with annotators, engineering, and researchers to improve datasets especially for current product needs.
  • Work with engineering for data dev-ops to define persistent data storage and warehousing solutions.

Requirements


  • Strong ability and experience to build and analyze very large datasets for deep learning models, especially given raw videos and audio modalities for research and production.
  • Strong software development skills, especially Python (and C++), and APIs such as Pandas, etc.
  • Expert understanding of persistent data storage and systems.
  • Strong teamwork skills especially given our multi-disciplinary teams of scientists, engineers, and creatives.
  • Good knowledge of data distribution building, statistics, and databases.
  • Awareness and interest in dataset bias analysis and prevention.

Benefits

  • Autonomy - you own the work that you do from start to finish, and you'll have the opportunity to influence research ideas and independently implement and evaluate them in modern deep learning and company tech stack at scale.
  • Career growth in data science - you’ll be up to speed with major scientific advances, contribute ideas to scholarly articles and patents, and participate at major conferences in AI-related fields.
  • Learning & development - you'll be working with the world's best Technologists, Visual Effects Editors & AI Scientists to push the boundaries of what is possible.
  • Inclusive culture - collaboration is essential, everyone's opinion and input are genuinely valued.
  • Be part of something BIG - we are changing the Film & TV industry for the better, breaking down language barriers, and bringing people closer together.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Deep Learning Engineering Machine Learning Pandas Pipelines Python Research Statistics

Perks/benefits: Career development Conferences Startup environment

Region: North America
Country: United States
Job stats:  4  0  0
Category: Engineering Jobs

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