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Staff Software Engineer, Conversational AI and Language Understanding
2 months ago
We are seeking a highly skilled Staff Software Engineer to join our Gemini team at Google. As a member of this team, you will contribute to the advancement and application of cutting-edge generative AI technologies that power conversational experiences and revolutionize the way we interact with information.
Key Responsibilities- Drive innovation by translating cutting-edge ML research into impactful user-facing solutions.
- Push the boundaries of innovation and research across key Gemini dimensions, including factuality and hallucinations, instruction following, coding generation capability, RLHF, differential privacy, handling long context, multimodal inputs and outputs, and more.
- Design and execute rigorous experiments, analyze results, and iterate on solutions to achieve optimal outcomes.
- Provide technical leadership on high-impact projects.
- Lead NLP solution design, optimize ML infrastructure, and guide model evaluation and debugging efforts.
- 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 leading ML design, fine tuning/reinforcement learning (RL), and debugging data issues (e.g., bias, train/inference mismatch, data quality).
- Experience with large language models, including 7b+ models, in a professional setting.
- Experience processing and working to understand natural language and large language models.
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 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 as a manager.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits.