Senior Machine Learning Engineer

1 month ago

North Sydney Council, Australia Amazon Web Services Australia Pty Ltd - D81 Full time
About the Role

The AWS Generative AI Innovation Center team is seeking an Applied Scientist to join our team of innovators. As an Applied Scientist, you will partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for talented individuals who can use generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key Responsibilities
- Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
- Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the Team
We're a diverse team of innovators who are passionate about using generative AI to solve real-world problems. We're committed to furthering our culture of inclusion and believe that diverse perspectives and experiences are essential to our success. We have a range of employee-led affinity groups and offer innovative benefit offerings to support our employees' well-being and career development.

What We Offer
We offer a range of benefits and opportunities to support your career development, including:
- A competitive salary and benefits package
- Opportunities to work on cutting-edge projects and technologies
- A range of employee-led affinity groups and networking opportunities
- Access to ongoing learning experiences and mentorship programs
- A flexible and supportive work environment

Requirements
- 2+ years of building machine learning models or developing algorithms for business application experience
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

Preferred Qualifications
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models
- Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet

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