Machine Learning Engineer, Gemini
Description For Machine Learning Engineer, Gemini
Google is seeking a Machine Learning Engineer to join their Gemini team, focusing on conversational AI development. This role combines cutting-edge research with practical implementation in one of tech's most impactful companies. You'll be working on Gemini, a conversational AI tool that enables users to collaborate with generative AI to enhance productivity and creativity.
The position requires expertise in Natural Language Processing (NLP) and Large Language Models (LLMs), with opportunities to push the boundaries of what's possible in AI. You'll be part of a team developing next-generation technologies that directly impact billions of users worldwide. The role involves both research and practical implementation, requiring skills in distributed computing, large-scale system design, and artificial intelligence.
As a Machine Learning Engineer at Google, you'll have the chance to work on critical projects while having opportunities for growth and team rotation as the company evolves. The fast-paced environment demands versatility and leadership qualities, with a focus on both short and mid-term improvements to the Gemini platform.
The position offers the opportunity to work with state-of-the-art technology and collaborate with some of the brightest minds in the field. You'll be contributing to a product that aims to augment human imagination, expand curiosity, and enhance productivity through AI. The role combines technical expertise with creative problem-solving, making it ideal for someone passionate about advancing the field of machine learning while creating practical applications that benefit users worldwide.
Google provides a collaborative environment where innovation is encouraged, and your work will have a direct impact on how people interact with technology. The company's commitment to diversity, equality, and inclusion ensures a welcoming workplace where different perspectives are valued. This role represents a unique opportunity to shape the future of AI while working on one of the most advanced conversational AI systems in the world.
Responsibilities For Machine Learning Engineer, Gemini
- Research and productionize state-of-the-art post-training and inference-time techniques
- Investigate the next generation of model improvements targeting short and mid-term time-horizons
- Collaborate and share results with the broader team
- Operate in a high-reward and fast-paced environment
Requirements For Machine Learning Engineer, Gemini
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- 2 years of experience with NLP/LLMs
- Experience with ML models, working with data, quality metrics, quality iterations
- Master's degree or PhD in ML (preferred)
- Experience with RL modeling (preferred)
- Experience with large-scale distributed model training, MLOps, ML infrastructure (preferred)
- Strong collaboration and communication skills (preferred)
- Strong track record of pushing state-of-the-art in ML (already in LLMs) (preferred)
Jobs Related To Google Machine Learning Engineer, Gemini
