We are seeking a Research Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product & business impact.
This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools. We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.
Job responsibilities- Design and develop scalable software applications leveraging generative AI models.
- Rapidly prototype new features and iterate based on evaluation results.
- Collaborate with researchers and product managers to translate research advancements into tangible product features.
- Optimize software performance and ensure reliability of deployed applications.
- Contribute to the development of best practices for building and deploying generative AI applications.
- Lead the architecture and development of new products & features from 0 to 1.
Minimum qualifications:
- A bachelor degree in computer science, electrical engineering or equivalent experience.
- 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.
Preferred qualifications:
- Experience with generative AI models and applications.
- Contributions to open-source projects.
- Experience with front end development.
- Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
- Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
Skills Required
- Bachelor degree in computer science or electrical engineering
- 8 years of experience in software development with programming languages
- 5 years of experience testing and launching software products
- 3 years of experience with software design and architecture
- 5 years of experience leading ML design and optimizing ML infrastructure
What We Do
We’re 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. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
