Machine Learning Researcher
Full-time · Gdańsk, Poland
We are building the next generation of generative AI for 3D animation. At Animatica, we move fast to bridge the gap between cutting-edge AI research and practical tools for creators. We need a Machine Learning Researcher who wants to get their hands dirty advancing state-of-the-art generative models for human motion. You won't just be writing papers; you will be working directly with massive mo-cap datasets and collaborating closely with our ML engineers, animators, and graphics experts to build tech that actually ships.
What you'll do
- —Designing and running experiments using models like Transformers, Diffusion, VAEs, and GANs to crack complex tasks like motion prediction, interpolation, style transfer, and trajectory generation.
- —Wrangling large-scale motion capture and skeleton-based datasets (like AMASS, Human3.6M, Mixamo) and tackling real-world motion representation challenges using Euler angles, quaternions, and FK/IK.
- —Digging into the latest research from top-tier venues (CVPR, SIGGRAPH, NeurIPS, ICLR, ECCV), implementing the best ideas, and adapting them to directly upgrade our core technology.
- —Teaming up with our ML engineers to navigate production constraints, and working with the animation and graphics crew to evaluate data and integrate your models into the pipeline.
- —Formulating hypotheses, documenting your breakthroughs, and contributing to scientific publications to put Animatica on the map in the global research community.
What we're looking for
- —An advanced degree (PhD or Master's) in AI, Computer Graphics, Robotics, Bioinformatics, or a similar field, backed by at least 2 years of real-world research experience in academia or industry.
- —A rock-solid theoretical understanding of machine learning, deep learning, and time-series modeling.
- —High proficiency in writing code for modern ML libraries, with a heavy preference for PyTorch (though we will definitely talk if you are a TensorFlow or JAX wizard).
- —Deep knowledge of how motion actually works under the hood, including local vs. global coordinates and forward/inverse kinematics.
- —The ability to design rigorous experiments, analyze the results without bias, and clearly communicate your findings through technical docs and papers.
Nice to have
- —Published papers on motion in-betweening, 3D pose estimation, procedural animation, or deep generative models.
- —Hands-on experience with 3D character data structures like SMPL models, kinematic parameters, and hierarchical skeletons.
- —A background in physics-based animation or biomechanical motion simulation.
- —Know-how in creative software like Blender, Maya, or Unity so you can independently test, visualize, and export your ML outputs.
Compensation
18,000 – 23,900 PLN/month gross (UoP) + employee stock options (ESOP)
Full employment contract (Umowa o Pracę) with statutory benefits including health insurance, pension contributions, and 26 days of paid leave. Equity is part of the package — you'll share in what we build together.
Interested?
Send us your CV and a link to your work — GitHub, papers, a side project, or anything that shows how you think.
Other open roles
Research · Gdańsk, Poland