[Hiring] AI/ML Engineer @Rackner

Role Description

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

• Design, develop, and implement machine learning and deep learning models
• Build and optimize model architectures including CNNs, RNNs, and transformer-based models
• Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
• Perform feature engineering and prepare high-quality datasets for training and evaluation
• Create and maintain AI/ML training runbooks and documentation
• Collaborate with data engineers and software teams to integrate models into production systems
• Ensure reproducibility through data versioning and metadata standards
• Continuously evaluate and improve model performance and scalability

Qualifications

• Strong proficiency in designing and implementing model architectures, including:
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Transformer-based architectures
  • Large Language Models (LLMs)
  • Object Detection models (e.g., YOLO, Faster R-CNN)
• Hands-on experience with:
  • PyTorch and/or TensorFlow
  • Hugging Face, Ollama, or similar frameworks
• Experience with data engineering concepts, including:
  • Feature engineering and dataset preparation
  • Data versioning tools (e.g., lakeFS)
  • Metadata standards such as STAC
• Ability to create clear and effective AI/ML training runbooks
• Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

• Experience deploying models in cloud-native environments
• Familiarity with DevSecOps practices
• Experience working with large-scale or federal datasets
• Understanding of MLOps principles and pipelines

Benefits

• Weekly pay with full remote flexibility
• Professional growth investment, including paid certifications and training
• Comprehensive benefits package, including:
  • Medical, dental, and vision coverage
  • 401(k) with 100% company match up to 6%
  • Paid time off (PTO)
  • Life and disability insurance
  • Home office equipment plan
• A supportive, inclusive team culture focused on collaboration, trust, and mission impact