Senior Software Engineer, ML, Google Photos Reminiscing

• Contribute to Technical Goal and Roadmap: Collaborate with cross-functional partners to help refine the team's technical goal, strategy, and roadmap, ensuring alignment with overall Google Photos goals.
• Drive Impact: Deliver high-quality software solutions, through both direct contributions and indirectly working through others, that delight users and contribute to the continued success of Google Photos.
• Cultivate Engineering Excellence: Establish and promote software engineering best practices, balancing code health with project velocity and maintainability.
• Foster a Culture of Collaboration: Advocate a positive and collaborative work environment, encouraging knowledge sharing, open communication, and mutual respect.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• Experience with Machine learning (ML) and Large Language Models (LLMs), including training and evaluating ML models.
• Experience with the development and evaluation of new signals/scores for large-scale systems.
• Experience working with cross-functional teams, including product management, design, and research

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Knowledge of Google Photos, with the ability to make a positive impact on millions of users worldwide.
• Excellent communication, and leadership skills, with the ability to inspire and motivate teams. Proven ability to define and execute strategic initiatives in a fast-paced, dynamic environment.

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• Experience with Machine learning (ML) and Large Language Models (LLMs), including training and evaluating ML models.
• Experience with the development and evaluation of new signals/scores for large-scale systems.
• Experience working with cross-functional teams, including product management, design, and research