Machine Learning Engineer
Full-time · Gdańsk, Poland
We're building an AI system that generates realistic character motion from sparse creative direction. We need an ML Engineer to own the path from trained model to production system — inference optimization, deployment infrastructure, and the engine that makes it all run fast enough for interactive use. You'll work side-by-side with our ML Researcher as part of the core research team.
What you'll do
- —Build and own the inference engine — model serving, batching, latency optimization, and real-time performance
- —Design deployment infrastructure from the ground up — containerization, orchestration, and scaling for GPU workloads
- —Optimize models for production — quantization, pruning, graph compilation, and hardware-specific acceleration
- —Collaborate daily with the ML Researcher to understand model requirements and feed back production constraints into research
- —Build internal tooling, APIs, and services that connect our models to animation software and workflows
- —Develop monitoring and observability for model behavior in production
What we're looking for
- —Strong software engineering fundamentals — you build systems that are reliable, testable, and maintainable
- —Hands-on experience deploying ML models at scale — model serving frameworks (TensorRT, ONNX Runtime, Triton, or similar), inference optimization, GPU profiling
- —Proficiency in Python and familiarity with PyTorch internals; comfortable with cloud infrastructure (AWS or GCP)
- —Genuine understanding of ML model internals — you can reason about why a model is slow, not just that it is
- —Self-directed and comfortable working in ambiguity — we're a small team building something new
Nice to have
- —Experience building real-time inference systems or latency-critical applications
- —Familiarity with 3D animation pipelines, skeletal data, or motion formats (BVH, FBX)
- —Background in systems engineering, MLOps, or high-performance computing
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.
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Research · Gdańsk, Poland