דרושים Solutions Architect Intern ב-אמזון ב-Australia, Victoria, Melbourne

What will you do? You will lead a multidisciplinary team to develop solutions across multiple programs working with scientist customers collect, clean, and evaluate data used for AI model training. You will lead the development process and have end-to-end ownership of distributed backend systems as well as front-end tools for human-in-the loop data collection.Key job responsibilities
* Drive architectural changes and designs for the team to scale the AGI-DS planning, routing and execution systems to cater to multiple channels, customer types and workflow types.
* Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture.
* Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.A day in the life
A mix of helping the team design systems for building and managing training data, working with the team to deep dive into data quality issues, working with stakeholders to understand their requirements, improving efficiency in our software development processes, career coaching and mentorship, communicating status updates to leadership about progress and challenges, and collaborating with sister teams.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Machine Learning and Information Retrieval- Present your research findings to both technical and non-technical audiences

- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning
- Strong programming skills, e.g. Python and DL frameworks

- Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning.
- Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys
- Experience with handling large datasets and distributed computing, e.g. Spark

As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact.Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Computer Vision and Machine Learning- Present your research findings to both technical and non-technical audiencesKey Opportunities:- Access cutting-edge tools and hardware (large GPU clusters)
- Address challenges at an unparalleled scale
- Become a disruptor, innovator, and problem solver in the field of computer vision- Opportunities to become an FTE after the internship

- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning
- Experience in computer vision or related fields
- Strong programming skills (Python preferred)

Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Machine Learning and Information Retrieval- Present your research findings to both technical and non-technical audiences

- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning
- Strong programming skills, e.g. Python and DL frameworks

- Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning.
- Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys
- Experience with handling large datasets and distributed computing, e.g. Spark

Key job responsibilities- Architect and develop scalable, high-performance data systems with AWS infrastructure.
- Implement robust data solutions and scalable data architectures.
- Develop and improve the operational excellence, data quality, monitoring and data governance.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

Amazon is a place where builders can build. Our internships offer exceptional opportunities for you to grow your technical and non-technical skills. From day one, you will be working with experienced engineers who love what they do.Associate Solutions Architect Intern
As an SA intern, you will receive AWS technical training, immerse yourself in cloud computing, develop business acumen, presentation delivery, and learn more about Amazon culture. You will work in a one on one project environment with the possibility of group projects, complete the AWS Cloud Practitioner Certification, and attend professional development events.Amazon internships are full-time (38 hours/week) for 8- 12 consecutive weeks, in summer 2025. Applicants should have at a minimum one quarter/semester remaining after their internship concludes.Mentorship & Career Growth

- Currently in your penultimate year of a degree in Computer Science / Engineering / Mathematics / Technology / Related science/technical field graduating in 2026.
- Interest and aptitude to learn about and deliver cloud-based solutions to customers.
- Knowledge of one of the programming languages like Java, Python, Ruby, Node.js, C#, or C++ OR the interest and technical ability to learn a programming language. - Applicants must have valid work authorization in Australia/New Zealand. OR equivalent training, certifications, and/or experience.
- Experience with one of the following programming languages: Java, Python, Ruby, Node.js, C#, C++, or other modern computing languages. Experience with Networking fundamentals, Security, Databases (Relational and/or NoSQL) or, Operating Systems (Unix, Linux, and/or Windows)."

As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact.Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.Key job responsibilities
- Develop novel solutions and build prototypes
- Work on complex problems in Computer Vision and Machine Learning- Present your research findings to both technical and non-technical audiencesKey Opportunities:- Access cutting-edge tools and hardware (large GPU clusters)
- Address challenges at an unparalleled scale
- Become a disruptor, innovator, and problem solver in the field of computer vision- Opportunities to become an FTE after the internship

- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning
- Experience in computer vision or related fields
- Strong programming skills (Python preferred)