Software Engineering, AI/Machine Learning
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning, ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience working with large datasets and familiarity with data cleaning, pre-processing, and analysis.
- Familiarity with deploying machine learning models on Alphabet infrastructure (especially TPUs).
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 Developer AI team is transforming the way software development is carried out at Google. We are bringing new capabilities based on the latest GenAI research to Googler developers, and leading the tech industry’s evolution of how software is built.
The US base salary range for this full-time position is $197,000-$291,000 + 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.Responsibilities
- Collaborate with DeepMind researchers to train generative models using a unique dataset combining telemetry and logging.
- Partner with Alphabet's internal engineering teams to integrate these models into their workflows, transforming them into a live lab for testing research ideas and rapidly iterating on new approaches.
- Lead the team's efforts in curating and refining SWE pre-training, instruction tuning, and eval datasets, ensuring quality and alignment with project goals.
- Analyze model outputs and user feedback to continuously improve model performance and enable the use of internal SWE data for training Gemini models.
- Actively explore and apply cutting-edge LLM post-training techniques to improve model quality for code generation, code transformation and agentic CL generation and bug-fixing workflows.
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If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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