Research Scientist Internship - Face Perecption

Santa Monica, USA
Full time
Hybrid
Compensation is not specified
Role
Data Scientist
Description

Flawless is a forefront AI company revolutionizing the entertainment industry with innovative Gen AI film editing tools. We are dedicated to empowering filmmakers by offering cutting-edge technology that enables limitless creativity, expands storytelling capabilities, and delivers exceptional visual and emotional experiences. Additionally, our commitment to ethical AI is reflected in the development of the Artistic Rights Treasury (A.R.T.), a rights management solution safeguarding artists and rights holders in the Entertainment landscape.

About the Role

You will be part of our Research team as a Research Scientist Intern, focusing on face perception. This position is well-suited for a highly motivated individual with a background in scene perception, human face and motion tracking in videos, and scene interpretation. Your primary responsibility will involve independent research and the development of pioneering algorithms to process video content, particularly related to human detection for enhancing AI-powered filmmaking tools.

Key Responsibilities

  • Conduct independent research on face detection and motion tracking algorithms.
  • Design and implement models to accurately identify human faces in challenging scenarios.
  • Integrate cutting-edge advancements in disciplines such as human body/face detection and 2D/3D motion tracking.
  • Collaborate with a multidisciplinary team to implement research findings into production tools.
  • Stay up-to-date with academic and industry advancements to contribute to internal knowledge sharing.
  • Create technical documentation and support potential publications and patents.

Required Qualifications

  • Currently pursuing a PhD or advanced graduate degree in Computer Vision, Machine Learning, Graphics, or a related field.
  • Demonstrated research experience with published work showcased in esteemed conferences.
  • Proficiency in face detection, head pose tracking, and motion tracking technologies.
  • Hands-on experience in model development, especially in image or video synthesis.
  • Familiarity with Python and deep learning frameworks like PyTorch or TensorFlow.
  • Strong grasp of linear algebra, numerical optimization, and deep learning principles.
  • Previous involvement in human body/face keypoint detection at an advanced level.
  • Bonus: Knowledge of cloud platforms for large-scale training and experience with real-time rendering engines.

The compensation for this position ranges from $6,200 to $7,000 per month.

Interview Process

Our interview process aims to understand your capabilities in alignment with the role. The four-round process includes informal discussions allowing us to get to know each other better, along with technical assessments:

  1. Recruiting Screen: Initial call to discuss your background, motivations, and fit for the position.
  2. Hiring Manager Screen: Zoom interview with the Research Engineer to evaluate your technical expertise.
  3. Coding Interview: Live coding assessment to gauge your programming skills.
  4. Domain Depth AI/ML: Onsite interview focusing on your experience in deep learning and machine learning.
  5. Behavioral Interview: Meeting with senior leaders to understand your collaboration skills.

Why Join Us

At Flawless, you'll experience an environment built on trust, autonomy, and collaboration. You will have the opportunity to contribute to a growing company during a transformative stage and help shape its future. Additionally, you will enjoy benefits such as autonomy, a hybrid work setup, competitive salary, and stock options.

Flawless is dedicated to fostering an inclusive workplace where everyone can thrive. We are committed to offering equal employment opportunities, irrespective of various factors, to ensure a safe and welcoming environment for all.

Skills Required
Avatar
Flawlessdevstudio
Company size
Not specified
Location
United States
Description
Not specified

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