Shared jobTechnical Animator
Bengaluru · Mid Level
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What we know about this role
MEDIUM
Skild AI is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Window passed - posted 275d agoEarly applicants get seen before the pile builds.
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The first time we've seen this listing - it hasn't been closed and reopened.
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Job description
Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We’re looking for a Technical Animator to help bring our robotic simulations to life. In this role, you'll work closely with the simulation, perception, and autonomy teams to develop high-fidelity motion systems and animations for human and robot avatars. Your work will directly support model training and evaluation, helping us generate realistic motion data to train large-scale neural networks
Responsibilities
- Build high-quality motion capture systems
- Collaborate with robotics teams to synthesize realistic robot motions
- Collaborate with ML teams to develop state-of-the-art techniques for motion generation
- Design and build pipelines for processing animation data
Preferred Qualifications
- 3+ years of industry experience in technical animation, game development, VFX, or simulation
- Competence in building accurate motion capture systems
- Strong foundation in rigging, character animation, and physics-based motion systems
- Familiarity with deep-learning based motion synthesis techniques
- Background working with humanoid or robotic characters in simulation
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