R&D Machine Learning Engineer
Core
Design, develop, and implement machine learning and deep learning algorithms for EU-funded R&D projects, translating state-of-the-art research into working prototypes and proof-of-concept systems.
Role type
Senior IC Machine Learning Engineer (R&D)
Builds
Proof-of-concept systems, technical deliverables, and research prototypes for EU-funded projects.
Domain
R&D, EU-funded research projects, adTech, drug discovery, bioinformatics.
Deliverable
production ML models | product features | research
Required skills
Deep learning architectures, probabilistic modeling, Python, PyTorch/JAX/TensorFlow, experiment tracking (MLflow/W&B), reproducible pipelines, statistical modeling, technical/scientific writing, Linux, Git, CI/CD, Docker.
Preferred skills
LLM-based/agentic systems, computational biology/bioinformatics, large-scale cluster computing, HPC, publications/patents.
Technologies
PyTorch, JAX, TensorFlow, MLflow, W&B, Docker, Git, Linux.
Responsibilities
Design and implement ML algorithms for EU R&D projects; conduct literature surveys and benchmarking; develop proof-of-concept systems; prototype and evaluate LLM-based components; optimize models for scalability; contribute to project milestones and technical reports; prepare content for EU grant proposals; mentor junior engineers.
Seniority
Senior, hands-on IC with research output