Key Responsibilities

• Lead the development and maintenance of high-performing, scalable, and reliable
  
  

platforms

• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate
  
  

tradeoffs between different techniques and their application domains.

• Automate model training, evaluation, deployment, and monitoring using machine
  
  

learning pipelines, ensuring robust and efficient solutions.

• Apply advanced quality engineering practices, conduct code reviews, and maintain
  
  

documentation to ensure efficient and testable solutions.

• Enhance software delivery workflows to ensure seamless development cycles,
  
  

incorporating advanced debugging, triaging, and issue resolution.

• Contribute to documentation, educational content, and user feedback integration to
  
  

improve product/program adaptability and usability.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming
  
  

languages, and with data structures/algorithms.

• 3 years of full software development life cycle, including coding standards, code reviews,
  
  

source control management, build processes, testing, and operations experience.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of
  
  

experience with software design and architecture (design patterns, reliability and

scaling).

• 3 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal,
  
  

Large Vision Models) or with GenAI-related concepts (language modeling, computer

vision).

• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation,
  
  

optimization, data processing, debugging).

• Experience tackling challenges in production systems and optimizing for real-time
  
  

performance.

• Strong problem-solving skills, especially in breaking down complex systems.
• Demonstrated ability to work collaboratively in Agile environments with teams spread
  
  

across multiple locations.

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.