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Caterpillar

Makes heavy machinery, engines and gas turbines

AI Automation Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeIrving, TX, USA$97.5k - $158.5k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field is required.
  • Experience developing production-grade software solutions using Python, modern software engineering practices, and containerization platforms such as Docker or Kubernetes.
  • Experience designing and implementing distributed systems, application programming interfaces, and data-processing pipelines.
  • Experience training, fine-tuning, or deploying machine-learning models.
  • Experience generating and managing camera and LiDAR sensor datasets for perception or machine-learning applications, including data-collection pipeline design and ground-truth generation.
  • Experience in data annotation and quality assurance for autonomous systems or computer-vision projects, including defining annotation guidelines, identifying labeling defects, and driving measurable improvements in dataset accuracy.
  • Experience using annotation and dataset-management tools such as Labelbox, Supervisely, or Roboflow, or similar toolchains.
  • Experience using machine-learning frameworks and training tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, or MLflow, or similar frameworks.

Responsibilities

  • Develop and deploy automated labeling and captioning solutions for perception and Vision-Language-Action datasets.
  • Train, fine-tune, and evaluate AI models to support automatic labeling, automatic captioning, and annotation-quality automation.
  • Build data pipelines and workflows that move datasets through automated labeling, human review, quality validation, and dataset publication.
  • Implement and extend platforms such as NVIDIA Cosmos Curator, Cosmos Reason, and other emerging AI automation technologies.
  • Develop solutions that integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.
  • Ensure reliability, scalability, observability, and operational excellence across annotation-automation services.

Desired Qualifications

  • Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
  • Experience with AI-assisted annotation, automatic labeling, or machine-learning data pipelines.
  • Experience training or fine-tuning foundation models, vision models, or multimodal models.
  • Experience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI automation platforms.
  • Experience with Vision-Language-Action datasets and workflows.
  • Experience with sensor data such as cameras, LiDAR, radar, or autonomous-machine datasets.
  • Experience with cloud platforms, MLOps, and machine-learning deployment pipelines.
  • Experience building human-in-the-loop AI workflows and quality-automation systems.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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