Senior Software Engineer, Machine Learning, Debug

Google Inc.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Google is seeking a Senior Software Engineer in Singapore to advance machine learning for mosquito-linked disease eradication. You will design and deploy deep learning models to visually analyze mosquitoes and build high-accuracy detection pipelines in a production setting.

The role collaborates with entomologists, data scientists, and hardware engineers to solve real-world health challenges. The position emphasizes end-to-end ML lifecycle ownership, from research prototypes to scalable

Qualifications

• Bachelor’s degree or equivalent practical experience.
• Experience developing computer vision or machine learning products.

Responsibilities

• Design, train, and deploy deep learning models to visually analyze mosquitoes in production processes.
• Build high-accuracy object detection and image segmentation pipelines to count mosquito pupae from real-world image data.
• Leverage environmental data and biological parameters to model mosquito population dynamics and optimize release strategies.
• Take ownership of the full machine learning lifecycle and transition models from research to production.
• Collaborate with entomologists, data scientists, and hardware engineers to apply ML techniques to domain problems.

Skills

ML/Computer Vision experience

Edge deployment

Education

Bachelor's degree or equivalent

Master's degree or PhD

Tools

OpenCV

Android

Arduino/Raspberry Pi

Obj-C

Job description

Senior Software Engineer, Machine Learning, Debug

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor’s degree or equivalent practical experience.
• Experience developing computer vision or machine learning products.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with hacking hardware (e.g., Arduino, Raspberry Pi, etc.), and with other technologies (e.g., AS3, OpenCV, Android, Obj-C, etc).
• Experience deploying machine learning models on edge devices or in resource-constrained environments.
• Experience working in agricultural tech, bio-tech, or environmental science.
• Familiarity with spatial statistics or epidemiological modeling.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will play a critical role in advancing our mosquito-born disease eradication program, directly contributing to vector control and public health initiatives. You will sit at the intersection of computer vision, statistical modeling, and software engineering. You will be solving complex biological problems and writing the production-ready code required to deploy those solutions into the real world.

Responsibilities

• Design, train, and deploy deep learning models to visually analyze mosquitoes in our production process.
• Build high-accuracy object detection and image segmentation pipelines to count mosquito pupae from complex, real-world image data.
• Leverage environmental data and biological parameters to model mosquito population dynamics, ultimately optimizing our mosquito release strategies and schedules.
• Take ownership of the full machine learning lifecycle and transition models from local research prototypes into scalable, highly available production environments.
• Work closely with entomologists, data scientists, and hardware engineers to leverage machine learning techniques to most effectively solve problems for the team.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.