Machine Learning Engineer, Gemini
Description For Machine Learning Engineer, Gemini
Google is seeking a Machine Learning Engineer to join their Gemini team, focusing on developing next-generation conversational AI technologies. This role combines cutting-edge research with practical implementation in one of tech's most impactful companies. The position involves working on Gemini, a conversational AI tool that enables users to collaborate with generative AI to enhance imagination, curiosity, and productivity.
As a Machine Learning Engineer, you'll be at the forefront of developing and implementing state-of-the-art ML techniques, particularly in the realm of large language models and NLP. The role requires both technical expertise and collaborative skills, as you'll be working with teams across Google to push the boundaries of what's possible in AI.
The ideal candidate will bring a strong foundation in machine learning, demonstrated experience with NLP/LLMs, and a passion for innovation. You'll have the opportunity to work on large-scale systems that impact billions of users worldwide, while contributing to the evolution of AI technology.
Google offers a dynamic, fast-paced environment where you can make significant contributions to the field of AI. The company's commitment to innovation, coupled with its vast resources and talented teams, makes this an exceptional opportunity for someone looking to advance their career in machine learning while working on projects that shape the future of technology.
Working at Google means being part of a company that values diversity, inclusion, and innovation. You'll have the chance to collaborate with some of the brightest minds in the field while working on projects that have global impact. The role offers the perfect blend of research and practical application, making it ideal for those who want to push the boundaries of AI while seeing their work deployed at scale.
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)
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