Nomagic

Research Engineer

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SeniorHybryda·WarszawaFull-time

#434706·Dodano 3 miesiące temu·2

Źródło: Nomagic

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Tech Stack / Keywords

Python PyTorchJAXTransformersImitation LearningReinforcement LearningVLMVLARoboticsMachine Learning

Firma i stanowisko

Nomagic is focused on developing general-purpose physical AI by leveraging massive deployment logs from real robotic systems operating in production environments. The company combines world-class machine learning research with industrial-scale robotic execution and has an established presence in this field.

Wymagania

Deep experience at the intersection of machine learning, systems engineering, and robotics.
Proven experience training, fine-tuning, and deploying deep learning architectures (e.g., Transformers, VLMs/VLAs, Imitation Learning, Reinforcement Learning) for robot control, ideally validated on real hardware.
Strong proficiency in Python and deep learning frameworks such as PyTorch and JAX.
Hands-on comfort with hardware and understanding of the robotics stack including perception, controls, and state estimation.
Ability to move seamlessly between research and implementation with emphasis on execution, iteration speed, and real-world robustness.

Obowiązki

Focus on the intersection of Robotics and Machine Learning with large-scale multimodal model training.

Core Research & Large-Scale Infrastructure:

Design, implement, and maintain infrastructure for large-scale VLA model training, including scheduling, distribution, job management, checkpointing, and logging.
Build tools for launching, monitoring, debugging, and reproducing complex experiments.
Use offline classical stack data to pre-train robust robot foundation models.
Translate research needs into infrastructure capabilities and analyze results to support ML researchers.

Real-World Evaluation & Operations:

Design robotic tasks and lightweight physical setups to evaluate model capabilities beyond simulation.
Coordinate data collection and execute structured on-robot evaluations to measure success rates.
Analyze real-world results to guide ML research and identify operational bottlenecks.
Beta test tools for teaching robots new skills and document workflows for team scalability.

Benefity

Opportunity to work daily with real robots solving real problems.
Relocation package.
Flexible working hours.
English-speaking environment.

Pakiet relokacyjny

Elastyczne godziny

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