Staff Software Engineer, Large Language Models, Applied ML

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Job Description

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.
  • Experience as a research lead, research engineer, or other similar role for large language models.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.
  • 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
  • Experience in research with the modern ML stack (e.g., TF2, Jax, TPUs).
  • Experience contributing to research communities/efforts, including publishing papers in machine learning and NLP conferences.

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 Domain Solutions Applied ML team’s mission is to provide a well-lit path to accelerate cutting-edge Natural Language Processing (NLP) research to production. We explore State-of-the-Art (SoTA) large language model research, powered with production-grade models and advanced ML techniques, and then flow research innovations to products. We are part of Core ML, which is the center of gravity for Google's ML production and cross-product efforts.

In this role, you will directly engage with other product areas within Alphabet to land SoTA models and techniques with significant quality, performance, and productivity wins. You'll work on the latest LLM technologies that are revolutionizing NLP, foster strong research collaboration with researchers, and publish papers in top ML/NLP venues.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $185,000-$283,000 + 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 for new hire 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.

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.


  • Lead multiple efforts to contribute to critical sprints of large language models in Google to bring the cutting edge LLMs to next-gen Google products and applications, as well as our external users.
  • Collaborate on modeling techniques to support the full spectrum of LLM tuning, from prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF), parameter-efficient tuning, to fine-tuning.
  • Improve LLM efficiency, including efficient teacher architectures, fast LLM adaption, etc.
  • Strengthen collaboration with stakeholders of LLMs and scope new research and product engagement opportunities.
  • Work closely with product teams to accelerate their critical machine learning project launches, with a focus on large language and multi-modal models.

Company Info.


Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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