DeepRunner AI
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AI Model Architect

Engineering
Full-time
Silicon Valley / Athens
Engineering Department
Posted: June 2025
About the Role

We are seeking a highly skilled and innovative AI Model Architect to lead the development and refinement of our core AI models. You will be responsible for the post-training optimization, fine-tuning, and reinforcement learning strategies that drive the performance and efficiency of our AI-powered automation solutions. This role is critical in ensuring our models are robust, scalable, and deliver exceptional accuracy and value to our clients. You will be a key technical leader, shaping the future of our AI capabilities.

Key Responsibilities
  • Lead development and deployment of AI/Machine Learning models
  • Implement post-training optimization techniques including quantization, pruning, and knowledge distillation
  • Fine-tune large language models (LLMs) and foundational models for specific downstream tasks
  • Apply reinforcement learning algorithms and evaluate model performance using advanced metrics
  • Design and implement model serving and deployment infrastructure on cloud platforms
  • Develop data augmentation and synthetic data generation techniques to improve model robustness
  • Implement distributed training and model parallelism strategies for large-scale models
Requirements

Essential Requirements:

  • • 5+ years of experience in AI/Machine Learning model development and deployment
  • • Deep understanding of foundational model architectures (Transformers, LLMs, Diffusion Models)
  • • Proven experience in post-training techniques such as quantization, pruning, and knowledge distillation
  • • Strong expertise in fine-tuning large language models (LLMs) and other foundational models
  • • Solid understanding of reinforcement learning algorithms (Proximal Policy Optimization, Deep Q-Networks)
  • • Proficiency in model evaluation metrics and benchmarking techniques
  • • Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch)
  • • Experience with cloud-based machine learning platforms (AWS SageMaker, Google Vertex AI, Azure Machine Learning)
  • • Excellent communication and collaboration skills

Preferred Qualifications:

  • • Master's or PhD in Computer Science, Artificial Intelligence, or related field
  • • Experience with distributed training and model parallelism
  • • Experience with model serving and deployment infrastructure (TensorFlow Serving, TorchServe)
  • • Experience with data augmentation and synthetic data generation techniques
  • • Publications in leading AI/Machine Learning conferences or journals
  • • Experience with techniques to improve model interpretability and explainability
What We Offer
  • Competitive salary with equity participation
  • Comprehensive health, dental, and vision coverage
  • Flexible work arrangements and remote options
  • Professional development and conference attendance
  • Work with cutting-edge AI technology

Ready to Apply?

Send your resume and cover letter to join our team

About DeepRunner AI

We're revolutionizing the enterprise workplace with AI-powered automations that super-power human workers.

50+ Employees
AI Technology
Silicon Valley & Athens