onsite
Research Scientist, Recommendation Systems - Google
Research Engineer
Research Scientist focused on recommendation systems, developing and scaling post‑training algorithms for large language models using JAX and distributed deep‑learning infrastructure.
About the role
Key Responsibilities
- Design and implement novel post‑training algorithms for large language models that improve recommendation quality.
- Build and maintain high‑performance, scalable infrastructure using JAX and distributed training frameworks.
- Collaborate with cross‑functional research teams to integrate recommendation advances into production pipelines.
- Publish research findings in top conferences and translate breakthroughs into open‑source tools.
- Mentor junior researchers and contribute to the scientific community through code reviews and knowledge sharing.
Requirements
- PhD in Machine Learning, Computer Science, or a related field, or equivalent research experience.
- At least 2 years of hands‑on experience with large language model post‑training techniques and infrastructure.
- Proficiency in Python and JAX, with a strong background in deep learning and distributed systems.
- Demonstrated record of high‑impact research publications or patents.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced research environment.
Skills
pythondeep learning