Staff Software Engineer, Search Modeling and Quality

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development, and with data structures/algorithms.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  
• 5 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.
  
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  

Preferred qualifications:

• Experience with evaluating and improving the quality of ML models, including LLMs.
• Experience with prompt engineering or model fine-tuning in launched products.
• Experience with technical leadership roles.
• Experience with building things and solving hard quality problems in the Search stack.

About the job

Consistent with Google’s mission to organize and make information universally accessible, LearnX's mission is to democratize learning and education for all. To achieve this we focus on building capabilities that facilitate learning across Google products.

In this role, you will provide an opportunity to build transformative products which will change how users learn globally. You will help our team rapidly design, prototype, experiment and launch new products. You will provide the opportunity to explore and build entirely new AI-powered features from the ground up in a fast-paced environment, collaborating across Product Areas like Search, YouTube, Gemini and Google DeepMind.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities

• Work cross-functionally and cross-product area with a large working group to rapidly prototype, build, experiment, and launch new conversational AI learning features on Search, leveraging the latest LLM and ML capabilities.
  
• Collaborate with engineers to understand quality issues which can be at the intersection of underlying model capabilities or fast-evolving Search ML/serving infrastructure (LLM orchestration), and design solutions, analyze evals, and drive execution towards launches.
  
• Help the team achieve the best outcomes quickly (e.g., writing code, running/analyzing evaluations, proposing/contributing to request for comments, etc.).
  
• Identify opportunities and lead collaborations across LearnX and Search to develop shared capabilities that extend beyond the education vertical.