Research Scientist Internship - Face Perecption

    "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. We are also setting new standards in ethical AI by creating the Artistic Rights Treasury (A.R.T.), a rights management solution designed to protect artists and rights holders within the Entertainment landscape.

Reports to: Devesh Walawalkar - Research Engineer

What we are looking for:Flawless are looking for a Research Scientist Intern - Face Perception 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.  

We are seeking a highly motivated Intern to join our Research team, focusing on face detection and motion tracking for long-form content — specifically targeting head movement. This role is ideal for a PhD student or an advanced researcher with expertise in scene perception, tracking faces and heads in videos, and scene understanding. You will independently research and develop novel algorithms to process video and output semantic scene understanding related to human detection, contributing to the next generation of AI-powered filmmaking tools.

• Conduct independent research and development of face detection and motion tracking algorithms.
• Design and implement models capable of accurately capturing distinguishing human faces under difficult lighting and occluded situations.
• Explore and incorporate state-of-the-art advancements from fields such as human body/face detection, virtual try-on, and 2D/3D motion tracking.
• Collaborate with a dynamic team of researchers and engineers to integrate findings into production-level tools.
• Stay current with relevant academic and industry advancements, and contribute to internal knowledge sharing.
• Prepare technical documentation and, if applicable, support publications and patents related to your work.

• PhD student (preferred) or advanced graduate student in Computer Vision, Machine Learning, Graphics, or a related field.
• Research experience demonstrated through publications at top-tier conferences (e.g., ECCV, ICCV, CVPR, SIGGRAPH).
• Strong background in face detection, head pose tracking, 2D/3D motion tracking, or virtual try-on technologies.
• Hands-On experience developing and training diffusion models, particularly in image or video synthesis.
• Familiarity with face detection and segmentation technologies.
• Proficiency in Python and deep learning frameworks such as PyTorch or Tensorflow.
• Strong foundation in linear algebra, numerical optimization, and deep learning techniques.
• Experience with human body/face keypoint detection and tracking at a state-of-the-art level.
• Bonus: Familiarity with cloud platforms (AWS, GCP) for large-scale training, and experience with real-time rendering engines.

Interview Process

At Flawless, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together.  Our interview process is four rounds with some casual Zoom (or in-person) coffee in between to get to know each other: 

Recruiting Screen: 30-45 minute call with our recruiting team (We want to discuss your background, interests and motivations as well as the practical details and make sure that Flawless would be a good fit for you)

Hiring Manager Screen: 45-60 minute zoom interview - you will meet with our Devesh Walawalkar, Research Engineer for Face Perception to discuss your technical expertise.

Coding Interview: - 60 min live coding test. This will be a technical paired-programming task with one of our science team. This is designed to be an open/pairing type exercise to assess your ability to parse simple requirements, translate those into code, and demonstrate your fluency with hands on coding.

Domain Depth AI/ML: 60 onsite interview where you will meet 1-2 members of the Applied/Research science teams, through a screen share format talking through experience in deep learning architecture, and machine learning principles.  

Behavioral Interview: 45 Minute onsite / virtual interview - Use this time to meet Sr Leaders in the Org, speaking on how you work with other teams, and in a startup environment.  

Your Recruiter will be your main point of contact and prepare you for interviews. You’ll meet 4 to 6 people from across the business. (We make sure that you have time in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback!Why work at Flawless?

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 Salary

Stock Options

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.