Software Engineer, Machine Learning, Gemini
vor 4 Wochen
Google is seeking a highly skilled Software Engineer to join our team working on Gemini, a conversational AI tool that enables users to collaborate with generative AI. The ideal candidate will have a strong background in machine learning and experience with deep modeling techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Preference Optimization (IPO).
Responsibilities:
- Collaborate with Research teams to understand technologies and adapt them into Gemini/Bard to drive continuous improvement.
- Leverage SFT, RLHF, and IPO to quality hill climb.
- Conduct data analysis to uncover insights, pinpoint opportunities, and inform the strategic development of a data flywheel.
Requirements:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
- 2 years of experience with data structures or algorithms.
- 2 years of experience with machine learning algorithms and tools.
Preferred Qualifications:
- PhD in Machine Learning or a related field.
- Experience with Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
- Experience working with Large Language Models (LLMs).
About the Job:
As a software engineer at Google, you will work on a specific project critical to our 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.
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