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Machine Learning Engineer

Bastian Solutions

Salary not specified
Oct 16, 2025
Meridian, ID, US
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Bastian Solutions' R&D team is looking to produce industry-leading Autonomous Vehicle and Robotic solutions for the Material Handling Industry by leveraging cutting-edge Machine Learning technologies.

Requirements

  • Experience developing computer vision software in C++ and Python, including algorithm design and systems software development
  • Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
  • Experience in developing large scale neural networks using PyTorch, Tensorflow, Keras, etc.
  • Understanding of applied mathematics, numerical optimization, and Object/Pattern Recognition
  • Experience with 2D and 3D Computer Vision algorithms
  • Experience in dataset development for computer vision tasks, including synthetic data generation
  • Experience with MLOps

Responsibilities

  • Design state of the art neural networks for vision, grasping, and robot autonomy tasks.
  • Develop software systems to interface neural networks with hardware to solve real-world physical problems.
  • Select and implement cutting edge neural network algorithms directly from the latest research.
  • Supervise model and dataset development across multiple projects, teams, and geographical locations.
  • Develop new training and evaluation techniques to enhance an end-to-end neural network training and evaluation pipeline.
  • Develop new features for a self-optimizing, real and synthetic, data generation pipeline.
  • Develop real time inference applications for embedded and mobile devices.

Other

  • Up to 10% overnight travel (Travel expenses paid by Bastian Solutions)
  • Bachelor's Degree in Computer Science, Computer Engineering or related technical field
  • Maintain clear and transparent communication with cross-functional team, vendors, and clients.
  • Engage with Software Development Life Cycle processes, including scoping, architecture creation, design reviews, peer programming, and collaboration with a multidisciplinary team.
  • Must be eligible to work in the USA long term without sponsorship