Software Engineer III, Machine Learning, Core

Software Engineer III, Machine Learning, Core

corporate fare_ Google place Kirkland, WA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following:
  Generative AI, Generative AI Agents, Large Language Models (LLMs), or specialization in another ML field.

• Master’s degree or PhD in Computer Science or related technical fields.
• 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 2 years of experience with data structures and algorithms in either an academic or industry setting.
• Experience in developing and deploying AI/ML models and algorithms.
• Experience in Python and any other languages (e.g., C++, Kotlin, Java) and developing accessible technologies.
• Experience in machine learning, data analysis and developer tools.

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 manage information at a 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.

In this role, you will offer a unique opportunity to contribute to a ‘labs-style’ collaborative environment focused on prototyping, accelerated learning, and product ionizing, ensuring we stay at AI innovation. 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 se 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 $141,000-$202,000 + 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 ().

• Experiment, fine tune, and deploy AI/ML models and develop AI/ML applications that optimize developer productivity, streamline development workflows, and automate repetitive tasks including test code generation, debugging assistance, and other productivity‑enhancing tools.
• Prepare comprehensive technical documentation, including model architectures, algorithms, and implementation details, and present findings, results, and recommendations to both technical and non‑technical stakeholders in a clear and concise manner.
• Collect…