Research Engineer, India
Research Engineer, India
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Job Description
Research Engineer:
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Snapshot
The Machine Learning and Optimization (MLO) team at Google Deepmind India is driven by the mission of enabling ultraefficient adaptable and performant large models for everyone.
Our mission is realized through foundational research in machine learning along with building large scale systems to demonstrate effectiveness of our research ideas. We specifically focus on advancements in machine learning architectures largescale optimization algorithms reinforcement learning methodologies and innovative sampling techniques.
We apply our research advances to critical product launches in Google touching the lives of hundreds of millions of users and we are looking forward to doing more!
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
In particular our MLO team at GDM India has deep expertise in machine learning fundamentals large foundational models reinforcement learning generative modeling and causal inference. Some of our breakthrough technologies include Matryoshka Representations and Matformers Tandem Transformers Treeformer Causal Representation Learning.
We have been at the forefront of reimagining Googles latest foundational models from an efficiency and adaptability viewpoint contributing to our cutting edge models/products while also disseminating our findings through publications at top ML conferences/journals.
The role
Research Engineers at Google DeepMind lead our efforts in developing and productionizing large scale foundational models towards the end goal of solving and building Artificial General Intelligence.
In particular your role would be to help design implement and experiment with various research ideas and hypotheses in large foundational models space with emphasis on efficiency and adaptivity. After designing the kernel of a research idea the next step would be to further polish and refine the idea and productionize it for some of the key ML models for Google.
Key responsibilities
- Design implement and evaluate models agents and software prototypes of large foundational models.
- Deep dive into fundamentals of both the ML aspects of foundational models (like architectures loss functions data evals) as well as their implementation on neural accelerators (efficiency during training serving).
- Productionize promising research ideas and ensure that the core techniques can be leveraged by multiple internal and external teams.
- Suggest and engage in team collaborations to meet ambitious research and productionisation goals.
- Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About you
In order to set you up for success as a Research Engineer at Google DeepMind India we look for the following skills and experience:
- BSc MSc or PhD/DPhil degree in computer science mathematics applied stats machine learning or similar experience working in industry
- Proven knowledge and experience of Python or C
- Deep knowledge of algorithm design
- Proven track record of engineering and productionizing large scale systems and working with multistakeholder environments.
- Strong communication and interpersonal skills
In addition the following would be an advantage:
- Knowledge of machine learning and statistics
- Proven experience with ML frameworks (e.g. JAX)
- Proven experience with large multimodal model training
- Proven experience working in industry working on projects from proofofconcept through to implementation applying experimental ideas to applied problems
- A real passion for AI Optimization and Efficiency!
Next steps
Please fill out the application form linked here ( and then continue on with the application on this page. Thank you!
Employment Type
Full Time
