Software Engineer III, AI/ML, gUP Customer Support

• Design, develop, test, deploy and maintain large software systems for user voice model serving and other ML based support needs.
• Prototype and build features and solutions in a changing environment.
• Collaborate closely with Engineering, Product Management, and UX to complete tasks end-to-end with minimal guidance from executive leads, and influence product requirements.
• Manage individual and project priorities, deadlines and deliverables. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Be a part of 24x7 support rotation with strict service level objectives (SLOs).

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience in software development in Java and TypeScript, including programming, coding, design, and debugging, or 1 year of experience with an advanced degree.
• 2 years of experience integrating machine learning models in production environments.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience collaborating with cross-functional engineering teams to produce documentation for external technical audiences.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of working within Generative AI or Agentic AI technologies.
• Excellent coding skills in C++ and Python.
• Excellent investigative, problem-solving and critical thinking skills.
• Excellent communication and teamwork skills with an, ability to collaborate across boundaries.
• Passion for consumer products, customer support, next generation technologies with an ability to balance advocating for the customer and the needs of the organization.

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience in software development in Java and TypeScript, including programming, coding, design, and debugging, or 1 year of experience with an advanced degree.
• 2 years of experience integrating machine learning models in production environments.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience collaborating with cross-functional engineering teams to produce documentation for external technical audiences.