Data Engineer Internship - Deep Learning

Flawless is an award-winning film technology company at the forefront of the generative AI revolution in filmmaking. They solve some of the greatest challenges that filmmakers face by developing pioneering AI-powered post-production tools that enable on-screen dialogues to be visually altered without the need for reshooting or returning to the set. Their groundbreaking system has won multiple awards, including TIME Best Inventions. Founded in 2020, Flawless was created by Hollywood director, Scott Mann, and seasoned technology entrepreneur Nick Lynes. With headquarters in London and LA, they have assembled a remarkable team of 100 leaders in science, film, and technology from renowned establishments like Adobe, Google, Lionsgate, NASA, Sony, Facebook, Microsoft, and Apple. Flawless is seeking a Deep Learning Data Engineer Intern. This position provides an excellent opportunity to work in an environment that values trust, autonomy, and teamwork. You will be integral to shaping the future of an innovative, caring, and collaborative company. The data team is in charge of sourcing, annotating, curating, and launching large multimodal datasets in the film media domain. They collaborate with the core and applied ML, lighting, staging, engineering, and film innovation teams to understand data needs and produce high-quality datasets essential for next-generation AI models. The team also handles data versioning, data DevOps, and persistent storage. The company's work in automated visual translation is just the beginning. They're developing numerous exciting products based on the application of their proprietary research. This incredible opportunity allows you to join a team operating on the leading edge of the generative revolution. Qualifications Minimum Requirements: - 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. - 1+ years of experience writing and testing modularized, production-level Python code. - Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras, or MXNET. - Experience with data collection, labeling, and cleaning using various tools. Preferred Requirements: - Pending MS in computer science, machine learning, computer vision, or a related field. - Experience with CI / CD automation using tools such as GitHub Actions or GitLab. - Experience setting up and configuring cloud infrastructure resources with tools like Terraform or CloudFormation. - Experience with various cloud data storage technologies on AWS, GCP, or Azure. - Experience with audio, text, or 3D data modalities. Benefits: - Autonomy – You'll own your work from start to finish. - Influence – You'll impact major research decisions. - Publication – You’ll be encouraged to publish your work. - Learning – You’ll push the state-of-the-art with the best in the world. - Impact – Your input genuinely matters. - Your choice of equipment. Flawless is proud to create an equal opportunity, safe environment for people to excel in their work. They believe in equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status, and consider qualified applications regardless of criminal histories, in line with legal requirements.