Marvik
Marvik
Marvik — жасанды интеллектіні корпоративтік ұйымдарға арналған өндірістік жүйелерге айналдыруға бағытталған технологиялық консалтинг компаниясы. Оның командасы жасанды интеллект стратегиясы, мүмкіндіктерді анықтау, деректер инженериясы, модель әзірлеу, генеративті жасанды интеллект, үлкен тілдік модельдер, жасанды интеллект агенттері, компьютерлік көру, болжамды аналитика, роботтандыру және автоматтандыру бағыттарында жұмыс істейді. Marvik сонымен қатар аға деңгейдегі жасанды интеллект сараптамасы мен бөлшектеп ұсынылатын көшбасшылық қолдау көрсетіп, ұйымдарға бөлшек сауда, электрондық коммерция, логистика, финтех, өндіріс, денсаулық сақтау, энергетика және мемлекеттік басқару салаларына арналған ауқымды шешімдер әзірлеуге көмектеседі.

Machine Learning and Robotics Engineer, Simulation

Build and validate simulated machine learning and robotics systems for physical-world applications at Marvik. Work across robotics, perception, synthetic data, and model development from experimentation through production.

Сипаттама

  • Develop and assess machine learning and robotics solutions from initial experiments through production integration
  • Create and operate simulation environments for algorithm testing, synthetic data generation, and system evaluation
  • Build data pipelines covering collection, processing, model training, and evaluation
  • Connect models with sensors, software platforms, and hardware as project needs require
  • Plan experiments that measure performance, identify failure modes, and evaluate simulation-to-real-world transfer
  • Partner with engineers, researchers, and clients to turn project requirements into practical implementations
  • Produce maintainable code and reusable tools while strengthening engineering practices across projects

Талаптар

  • Professional experience in machine learning engineering, robotics, or a closely related discipline
  • Practical experience with a simulation platform such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, Gazebo, PyBullet, or an equivalent tool
  • Strong Python skills combined with sound software engineering practices
  • Experience developing and evaluating machine learning models or robotics algorithms, including validation methods and performance metrics
  • Working knowledge of sensor modeling, coordinate transformations, kinematics, dynamics, or physics-based simulation
  • Comfortable using Linux and Git within collaborative development processes
  • Able to handle open-ended challenges, explain trade-offs, and own implementation and validation work
  • Additional experience in computer vision, 3D perception, or multimodal learning is advantageous
  • Additional experience with synthetic data generation, domain randomization, or sim-to-real evaluation is advantageous
  • Additional experience with reinforcement learning, imitation learning, motion planning, or control is advantageous
  • Additional experience with ROS or ROS 2 and physical sensor or robot integration is advantageous
  • Additional experience deploying systems to edge devices such as NVIDIA Jetson is advantageous
  • Additional experience with C++, GPU optimization, Docker, or cloud infrastructure is advantageous
  • Additional experience converting prototypes into dependable production systems is advantageous

Артықшылықтар

  • No explicit benefits, perks, or additional compensation details are provided

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