onsite
AI Research Scientist, Applied AI - Google
Research Engineer
Lead applied AI research projects, designing and deploying machine learning models such as LLMs, generative AI, and recommendation systems, while publishing findings and guiding a team of researchers.
About the role
Key Responsibilities
- Define and drive an applied AI research agenda aligned with product and platform goals.
- Design, implement, and evaluate machine‑learning models—including large language models, generative AI, NLP, and recommendation algorithms.
- Publish research results in top conferences or journals and contribute code to open‑source repositories.
- Collaborate with engineering, product, and other research teams to prototype and ship AI solutions at scale.
- Mentor junior researchers and influence cross‑functional teams through technical leadership.
Requirements
- PhD in Computer Science or a related field, or equivalent practical experience.
- At least 2 years of experience leading a research agenda and publishing in top AI venues (e.g., NeurIPS, ICML, CVPR).
- Strong hands‑on expertise with machine‑learning frameworks and programming in Python, Java, or C++.
- Demonstrated experience building and deploying applied ML systems such as LLMs, generative AI, NLP pipelines, or recommendation engines.
- Proven ability to influence and guide other researchers and engineers.
Skills
pythonjavacmachine learninggenerative ainatural language processing