Senior Applied ML Engineer for AICore

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages (e.g., Python).
• 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:

• Master's degree or PhD in Computer Science or a related technical field.
• 1 year of experience in a technical leadership role.
• Experience with Machine Learning models (e.g., DNN, LLM, etc.) training, data processing, and evaluation.
• Familiarity with at least one popular ML framework (e.g., PyTorch, Jax, TensorFlow).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Partner with DeepMind and CoreML experts to bring Gemini to the Android ecosystem, to shape the future of mobile AI for billions.
• Design privacy-preserving, on-device ML systems that fundamentally change mobile interaction and enhance core functionalities at massive scale.
• Collaborate with Android partners to fine-tune Gemini models for peak performance across a wide array of Neural Processing Unit (NPUs), to achieve cross-ecosystem optimization.
• Develop next-generation algorithms and models to dramatically boost the performance and efficiency of on-device Generative AI.
• Deliver AI experiences to ensure exceptional performance, reliability, and user delight through model optimization and quality assurance.