Minimum qualifications:

• PhD in Computer Science, related technical field, or equivalent practical experience.
• 3 years of experience in research.
• Experience with general purpose programming languages (e.g., C/C++ or Python).
• Contributions to research communities, including publishing in forums (e.g., ACL, EMNLP, NeurIPS, ICML).
  
  

Preferred qualifications:

• Experience working in a chaotic environment, bridging engineering and research by mixing rapid prototyping and experimentation.
• Knowledge of Tensorflow and Jax.
• Passion for cutting edge machine learning and natural language processing.
• Comfortable communicating with client and platform teams.
  
  

About The Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

The researchers in Bangalore are part of Google’s global network of researchers participating in conferences, publishing research in scientific papers, and collaborating with one another.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Generate new hypotheses (e.g. some recipe), perform experimentation, analyze pros/cons, and redesign. Evaluate and analyze the proposals at both the quantitative and qualitative levels, to identify their limitations and avenues for improvement.
• Be agile and willing to take on tasks that are outside your comfort zone or skill set.
• Have a growth mindset to learn new skills, and be aware of the latest research in the field.
• Be responsible for the end-to-end flow including data generation, logging, and evaluation.
• Measure resource (TPU, CPU, memory) consumption, and make quality trade-offs to adapt to hardware of diverse capabilities.