ROLE COMMITMENTS
● Build and maintain production-grade machine learning systems and AI models
● Drive technical excellence in ML engineering practices and infrastructure
● Collaborate effectively across teams to deliver integrated AI solutio
● Contribute to our engineering culture of ownership and innovation
● Stay current with ML/AI advances and evaluate their potential application

ESSENTIAL DUTIES AND RESPONSIBILITIES
● Design, develop and deploy production recommendation systems and generative AI models
● Own the full ML lifecycle including data preparation, model development, training infrastructure, and production deployment
● Build robust, scalable ML services using modern cloud infrastructure (AWS) and IaC (Terraform)
● Write clean, tested code in TypeScript and Python following engineering best practices
● Collaborate with product teams to understand requirements and translate them into technical solutions
● Contribute to ML platform infrastructure and tooling
● Mentor other engineers on ML best practices
● Participate in code reviews and technical design discussions
● Monitor and maintain ML systems in production
● Document technical decisions and system architectures

Desired Qualifications, Education, and/or Experience

• Education and Basic Qualifications 
  •  3+ years of experience building and deploying ML models in production
    environments
  • Strong software engineering skills with TypeScript and Python
  • Experience with recommendation systems and generative AI models
  • Proven track record deploying ML services in AWS
  • Expertise in ML frameworks like PyTorch or TensorFlow
  • Authorized to work in the United States without sponsorship
  • Experience with infrastructure as code (e.g., Terraform) and CI/CD pipelines
• Preferred Qualifications 
  • Experience with RAG systems and LLM fine-tuning
  • Familiarity with the fitness/health domain
  • Knowledge of ML monitoring and observability practices
  • Open source contributions or technical blog posts
  • MS/PhD in Computer Science, Machine Learning or a related field