Senior Software Engineer, AI Innovation and Research, Engagements

• Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
• Collaborate with P&D product teams and research teams to deliver AI-based features.
• Work closely with the Mountain View-based team, leveraging their proximity and partnerships with P&D product teams to maximize efficiency and impact.
• Identify common needs across multiple engagements and build shared infra and models which will serve as a common toolset and blueprints to deliver the next engagements faster.
• Transfer valuable AI knowledge and expertise to the P&D product teams you engage with, empowering them for future AI-driven initiatives.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Experience in Machine Learning, deep learning, and AI development, with a track record of building and deploying production-level models.
• Experience working in a research or academic setting, collaborating with researchers and translating research findings into practical applications.
• Experience collaborating effectively with product teams, understanding their goals and working in partnership to make them a reality through AI solutions.
• Ability to work effectively with different and distributed teams, including product managers, researchers, and other stakeholders, across multiple time zones to drive AI adoption and integration.

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).