Machine Learning Engineer, AI Innovation Center
5 days ago
We are seeking a highly skilled Machine Learning Engineer to join our AI Innovation Center team at Amazon Web Services Australia Pty Ltd - D81. As an Applied Scientist, you will be responsible for designing, developing, and deploying cutting-edge generative AI algorithms to address real-world challenges.
Key Responsibilities- Collaborate with scientists and engineers to research and develop state-of-the-art generative AI solutions
- Work closely with customer engagement teams to understand adoption patterns and share best practices across teams and leadership
- Interact directly with customers to understand business problems, provide guidance on implementation, and deliver briefing sessions to support adoption
- Create and deliver educational resources, such as tutorials, blog posts, and presentations, to technical and business stakeholders
- Provide feedback to Product and Engineering teams to inform product direction
Our AI Innovation Center team is dedicated to pushing the boundaries of what's possible with generative AI. We're passionate about innovation, collaboration, and continuous learning. If you're eager to tackle complex challenges and make a meaningful impact, we'd love to hear from you
What We Offer- A competitive salary of AU$140,000 - AU$180,000 per annum, depending on experience
- A comprehensive benefits package, including medical, dental, and vision insurance
- A generous paid time off policy, allowing for relaxation and rejuvenation
- Opportunities for professional growth and development, including mentorship and training programs
- A dynamic and inclusive work environment that values diversity and promotes work-life harmony
- 2+ years of experience in building machine learning models or developing algorithms for business applications
- Master's degree in engineering, technology, computer science, or equivalent quantitative field
- Proficiency in programming languages such as C/C++, Python, Java, or Perl
- Proven knowledge of deep learning and experience hosting and deploying ML solutions
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