Visa Sponsorship Machine Learning jobs
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- GoogleSingapore
- Knowledge of machine learning techniques and applications.
- Develop accurate and fair machine learning models.
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- CoupangSingapore
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- Industry work experience in machine learning.
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- Support the production of scalable and optimised AI/machine learning (ML) models.
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- Mistral AISingapore
- Parental leave
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- We believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.
- Team: Join a passionate, diverse, and low-ego team that values…
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- GoogleSingapore
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Product Manager
Often replies in 1 dayIPIDSingapore- Stock options
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Job Post Details
Software Engineer, Machine Learning, Payments - job post
4.34.3 out of 5 stars
70 Pasir Panjang Rd, #03-71 Mapletree Business City II, Singapore
Full-time
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Job details
Job type
- Full-time
Location
70 Pasir Panjang Rd, #03-71 Mapletree Business City II, Singapore
Full job description
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Go, Python, C, C++, Java, JavaScript), or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, and debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience in developing and maintaining machine learning models in production
- Knowledge of machine learning techniques and applications
- Experience in analyzing and improving efficiency, scalability, and stability of various systems
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.Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.Responsibilities
- Analyze data for statistical insights.
- Develop accurate and fair machine learning models.
- Design experiments and implement new features and metrics.
- Work with product and marketing teams for experimentation and launch.
- Build and maintain production infrastructure, ensuring critical services and data are available and reliable.
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