Machine Learning Research Intern
IdeogramSalary not specified
Part Time
Entry Level & New Grad
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Visual Effects, Virtual Production, FilmmakingIndustries
Requirements
- Enrolled in PhD in Computer Vision, Graphics, Artificial Intelligence, and/or Machine Learning
- Demonstrated software engineer experience
- Expert knowledge of Python, C++, or other related programming language
- Practical experience working with neural network training/inference and architecture design for video/image generative AI or 3D representation
- Practical knowledge of content (re)creation using generative AI, including diffusion models
- Effective communication skills, both verbal and written
Responsibilities
- Engage in hands-on research activities related to video/image generative AI and 3D neural representation/reconstruction
- Work on developing and implementing innovative algorithms and techniques to address challenges in the field of filmmaking, content (re)creation, and visual effects/enhancements (relighting, super-resolution, stylization, etc.)
- Conduct experiments to validate research hypotheses and prototype new ideas
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the pay rate for the Research Intern position?
The salary range is $45 - $65 an hour, specific to applicants in Los Angeles, CA, and varies based on qualifications, skills, experience, and location.
Is this Research Intern role remote or office-based?
This information is not specified in the job description.
What qualifications and skills are required for the Research Intern?
Candidates must be enrolled in a PhD in Computer Vision, Graphics, AI, or Machine Learning, with demonstrated software engineering experience, expert knowledge of Python, C++, or related languages, practical experience in neural network training/inference and architecture design for video/image generative AI or 3D representation, and knowledge of content recreation using generative AI like diffusion models.
What is the company culture like at Scanline VFX?
Scanline VFX values innovation, high quality standards, and encourages explorers who test, learn, and iterate; they believe great ideas come from everyone and actively promote asking questions and presenting ideas.
Who is an ideal candidate for this Research Intern role?
An ideal candidate is an exceptional PhD student in Computer Vision, Graphics, AI, or Machine Learning with hands-on experience in generative AI, 3D neural representations, software engineering, and effective communication skills.
Scanline VFX
Provides visual effects and real-time production
About Scanline VFX
Scanline VFX specializes in creating visual effects for films and television. The company uses its proprietary fluid simulation software, Flowline, to produce realistic natural elements like fire, smoke, and water. This software has been recognized with an Academy Award for its technical achievements. Scanline VFX stands out from its competitors by combining a large, diverse team of over 1,200 professionals with significant investments in its technology and infrastructure, particularly from Netflix. This allows them to take on a wide range of projects, both for Netflix and other clients. The goal of Scanline VFX is to help filmmakers achieve their artistic visions while pushing the limits of what can be done in visual effects and real-time production.
Grünwald, GermanyHeadquarters
1989Year Founded
M_AND_ACompany Stage
Design, EntertainmentIndustries
1,001-5,000Employees
Benefits
Professional Development Budget
Flexible Work Hours
Risks
Increased competition from emerging VFX studios in Asia.
AI-driven VFX tools may disrupt traditional workflows.
Volatility in streaming service investments could impact Scanline's project pipeline.
Differentiation
Scanline VFX's proprietary software, Flowline, creates photorealistic natural phenomena.
Eyeline Studios offers unmatched flexibility in real-time filmmaking.
Scanline VFX has a global presence with studios in seven key locations.
Upsides
Netflix's investment enhances Scanline's pipeline and infrastructure.
Rising demand for high-quality VFX in streaming content benefits Scanline.
Expansion into South Korea capitalizes on emerging market opportunities.
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