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Marvik
Marvik
51 – 200 Darbinieki
KonsultācijasLoģistikaVeselības aprūpe
Marvik ir tehnoloģiju konsultāciju uzņēmums, kas koncentrējas uz mākslīgā intelekta pārvēršanu uzņēmumu ražošanas sistēmās. Tā komanda darbojas mākslīgā intelekta stratēģijas, iespēju apzināšanas, datu inženierijas, modeļu izstrādes, ģeneratīvā mākslīgā intelekta, lielo valodas modeļu, mākslīgā intelekta aģentu, datorredzes, prognozējošās analītikas, robotikas un automatizācijas jomās. Marvik nodrošina arī piekļuvi vadošajiem mākslīgā intelekta ekspertiem un nepilnas slodzes vadības kompetencei, palīdzot organizācijām izstrādāt mērogojamus risinājumus mazumtirdzniecības, e-komercijas, loģistikas, finanšu tehnoloģiju, ražošanas, veselības aprūpes, enerģētikas un valsts pārvaldes nozarēm.
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Vakances uzņēmumā

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.

UYUrugvajaAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris
C++DockerLinuxMākonisPython

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

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

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