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Staff Software Engineer, Medical AI, Google DeepMind

GOOGLE ASIA PACIFIC PTE. LTD.

Singapore

On-site

SGD 100,000 - 130,000

Full time

Today
Be an early applicant

Job summary

A leading tech company in Singapore is seeking a Staff Software Engineer to develop cutting-edge AI systems for the healthcare sector. The ideal candidate will have extensive experience in software development and full stack web development, particularly in C++ and Python. This role emphasizes collaboration and innovation, contributing to real-world healthcare applications.

Qualifications

  • 7+ years of experience with software development using programming languages such as C++ and Python.
  • 7+ years of experience in full stack web development using Angular and/or Typescript.

Responsibilities

  • Design, develop and implement scalable systems for AI in medicine.
  • Collaborate with researchers to ensure system safety and reliability.
  • Implement tools and frameworks to enable new research and deployments.

Skills

Software Development
Full Stack Development
Python
C++
Angular
Typescript

Education

Bachelor's degree in Computer Science or Electrical Engineering
Job description
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 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 Staff Software Engineer at Google DeepMind, we look for the following skills and experience:

  • A bachelor degree in computer science, electrical engineering or equivalent experience
  • 7+ years of experience with software development using programming language such as C++ and Python
  • 7+ years of experience in full stack web development using Angular and/or Typescript
Preferred qualifications
  • 2+ years experience developing and deploying an end‑to‑end LLM‑powered system, and/or multi‑agent and multimodal models including audio and video
  • Experience optimising large‑scale training and fine‑tuning large models.
  • Experience with compliant enterprise product development and data management in production
  • Experience with multimodal LLM and multi‑agent systems and evaluation
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