AI/ML Engineering

Role Overview

Join Daice Labs as an AI/ML Engineer on a full-time basis, working remotely within the United States. You will design, implement, and deploy machine learning models and AI systems that power both the core product and research infrastructure.

Responsibilities

• Design and implement machine learning models for production deployment, including:
  • Training pipelines
  • Evaluation frameworks
  • Inference optimization
• Build and maintain data pipelines for preprocessing, feature extraction, and dataset management
• Contribute to a hybrid AI architecture, integrating symbolic and neural components
• Collaborate with research scientists to translate theoretical frameworks into working software
• Write clean, tested, well-documented code and follow software engineering best practices
• Participate in code reviews, architecture discussions, and sprint planning
• Monitor and improve model performance, latency, and computational efficiency in production

Requirements

• BS or MS in Computer Science, Machine Learning, Data Science, or a related field
• 3+ years of professional experience in ML engineering or applied AI
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience building and deploying ML models in production environments
• Familiarity with cloud infrastructure: AWS, GCP, or Azure
• Experience with data processing tools and relational/non-relational databases
• Understanding of software engineering practices: version control, testing, CI/CD
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with LLMs, transformer architectures, or agentic AI systems
• Familiarity with neurosymbolic AI, knowledge graphs, or formal methods
• Experience with Docker and Kubernetes
• Contributions to open-source ML projects or published research