Pretraining codebase SWE, DeepMind

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• Enable day to day research for the Cider specific pretrained model. Own the handover with Apple: Model IP obfuscation pipeline, eval correctness, and unity with Apple internal deployment.
• Write and test product or system development code.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience coding in one or more general purpose languages (e.g., Python, Java, Go, C, or C++), including data structures, algorithms, and software design.
• Experience in testing and launching scalable software products.
  

Preferred qualifications:

• Bachelor's degree in Computer Science or Engineering or 5 years of experience.