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Gemini Post-training Software Engineer
Summary by AIEngineer.careers
Gemini Post-training Software Engineer is a ML Engineer role (full-time). with DeepMind. in MOUNTAIN VIEW, US. Compensation shown: $174K–$252K. Imported listing (source: localjobs.com). Apply on the employer's site (localjobs.com).
Imported listing (source: localjobs.com) · Apply on localjobs.com
MOUNTAIN VIEW · US
$174K–$252K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.com
This role focuses on advancing the Gemini large language model through post-training optimization and evaluation. You will design and implement training pipelines for multi-step reinforcement learning and evaluate AI agents within complex multimodal digital environments. The position requires strong software engineering skills combined with expertise in machine learning workflows to drive model performance improvements.
Responsibilities
- Develop and optimize post-training pipelines for Gemini models
- Design multi-step reinforcement learning frameworks for agent training
- Evaluate and benchmark AI agents in multimodal digital environments
- Identify model improvement areas and implement targeted enhancements
Requirements
- Strong software engineering background with proficiency in Python or C++
- Hands-on experience with machine learning frameworks such as PyTorch or JAX
- Familiarity with reinforcement learning and agent-based training methodologies
- Experience working with large-scale models or multimodal data processing
Nice to Have
- Publications or contributions to open-source machine learning projects
DeepMind
Greater London · GB · 5600+ employees
Google DeepMind is a leading artificial intelligence research laboratory formed by the merger of DeepMind and Google Brain. It is a subsidiary of Alphabet Inc. focused on developing advanced AI systems and conducting breakthrough research to solve complex scientific and societal challenges.
