Senior Software Engineer, Medical AI, Google
7 days ago
Job Description
Our interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms and apply these to medicine and healthcare. We have already made a number of high profile breakthroughs towards building artificial general intelligence for medicine.
In this role, you will help accelerate development and deployment of multimodal and multi-agent conversational AI systems. You'll work with a global group of engineers and research scientists on a mission-driven team, with high agency in a fast-paced environment. Together, you will build and deploy cutting-edge medical AI systems for real-world healthcare with rigorous and careful evaluation, while respecting all aspects of domain-specific compliance.
Job Responsibilities
- Design, develop and implement highly scalable, secure, and performant systems for AI in medicine and health or other high-compliance requirement safety-critical systems
- Use your agile and adaptable skill-set to work across timezones and deliver full-stack implementation, from front-end, back-end, to the agentic AI system
- Apply your software engineering expertise to produce high quality, clean, generalisable/reusable and scalable code and infrastructure
- Collaborate with researchers and engineers in the team to ensure system safety and reliability
- Be highly collaborative, striving to cultivate a culture of continuous development and advancement.
- Implement tools, libraries and frameworks, and build on existing systems, to accelerate and enable new research and deployments.
- Employ cutting-edge technology and techniques to contribute to solving some of the hardest problems.
- Incorporate your passion for advancing human health and any previous knowledge or academic experience to join a team of hardworking individuals who openly collaborate with one another.
Minimum qualifications
Software Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both.
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- A bachelor degree in computer science, electrical engineering or equivalent experience
- 5+ years of experience with software development using programing language such as C++ and Python
- 5+ years of experience in full stack web development using Angular and/or Typescript
Preferred qualifications
- Experience with compliant enterprise product development and data management in production.
- Experience with multimodal LLM and multi-agent systems and evaluation
- Experience optimising large-scale training and fine-tuning large models.
- Experience developing and deploying an end-to-end LLM-powered system, and/or multi-agent and multimodal models including audio and video
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