Deep Learning Data Engineering Intern - Flawless AI
Santa Monica, CA 90401
About the Job
The AI Company that's revolutionizing Hollywood.
Flawless is shattering the boundaries of traditional filmmaking with its groundbreaking suite of Gen AI film editing tools. Our mission is to empower filmmakers with cutting-edge technology that allows creativity without compromise, expands storytelling possibilities, and delivers unparalleled visual and emotional experiences. Flawless is looking for a Data Engineering InternAs a Data Engineering - Intern, you will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a key part in shaping the future of a company's suite of generative AI tools for VFX, through the curation, development and deployment of multi-modal datasets for our ML models.
As a Data Engineer Intern you will assist the data team at various stages of projects supporting our ML pipeline, ranging from data sourcing, annotating, curating, and labeling to ensure successful deployment of large multi-modal datasets within the film media domain. In this role, you will partner closely with other Deep Learning Data Engineers, Scientists and our Applied Science, Engineering, and Film Innovation teams to understand data requirements and deliver high-quality audio/speech datasets that power next-generation AI models. The team is also responsible for data versioning, data DevOps, and persistent storage. Our work in automated visual translation is just the beginning, we're developing countless exciting products based on the application of our proprietary, cornerstone research.
Qualifications
- Bachelor's degree in computer science, machine learning, computer vision, or a related field
- 1+ years of experience preparing large datasets for deep learning and neural network models
- Experience with data collection, labeling, and cleaning using various tools
- Data labeling, annotation and curation for multimodal datasets
- Experience automating data preparation and data upload to software platforms like Encord.
- Experience with building ML pipelines to automate label or model predictions imports
- Experience with tools like Flyte, Airflow or Kubeflow
Preferred Qualifications
- Masters Degree in Computer Science with focus in Machine Learning or Computer Vision
- 2+ years experience with Python, Pytorch or Tensorflow
- Experience building and deploying multimodal datasets for ML Pipelines
You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that's caring, creative and collaborative.
In addition to this, you'll also receive: - Autonomy- A hybrid working environment- Competitive Monthly Rate
Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
PI249416746
Source : Flawless AI
