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- Tasks: Join our AGI team to develop and maintain cutting-edge AI models and infrastructure.
- Company: Be part of Amazon, a leader in innovation and technology with a focus on inclusivity.
- Benefits: Enjoy a dynamic work environment with opportunities for growth, learning, and collaboration.
- Why this job: Work on revolutionary AI projects that impact how machines perceive and interact with the world.
- Qualifications: 3+ years in systems engineering, programming experience in modern languages, and expertise in AWS.
- Other info: We value diverse perspectives and provide accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
The Artificial General Intelligence (AGI) team is looking for passionate, talented, and inventive engineers to play a pivotal role in the development and maintenance of industry-leading multi-modal and multi-lingual large language models (LLM). AGI team’s mission is to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation, and interaction with humans and the physical world.
We believe in “Work Hard. Have Fun. Make History” by having a strong focus on sharing learning experiences from the front line with the development teams. The options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too.
You will be required to deeply understand technology landscapes and evaluate the use of new technologies. You will be influential within your team and work with peers and senior leaders to define and revise the standards for operational excellence across systems. You will consistently tackle abstract issues that span multiple functional areas and drive your team to push for improvements that can scale across other teams, services, and platforms.
Key job responsibilities
- Provide support for cluster and node management, ensuring smooth operation of LLM infrastructure.
- Continuously improve and automate our cluster/capacity/maintenance upgrades.
- Develop automation tools for improving operational excellence.
- Work on operations and maintenance driven coding projects, primarily in Ruby, Rails, Java, Python, or shell scripts, AWS, web technologies projects.
- Should have hands-on experience in Kubernetes and expertise in different AWS services.
- Drive Company Wide Campaigns with Support and Engineering teams and drive it to closure.
- Participate in design and code reviews and identify bottlenecks.
- Troubleshoot and research root causes thoroughly and resolve defects.
BASIC QUALIFICATIONS
- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience.
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust.
- Experience with Linux/Unix.
- Experience with CI/CD pipelines build processes.
PREFERRED QUALIFICATIONS
- Experience with distributed systems at scale.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.
Posted: November 21, 2024 (Updated about 12 hours ago)
Posted: December 12, 2024 (Updated about 14 hours ago)
Posted: January 8, 2025 (Updated about 14 hours ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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System Develpment Engineer, AGI - Modeling Services employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Develpment Engineer, AGI - Modeling Services
✨Tip Number 1
Familiarize yourself with the latest advancements in large language models (LLM) and sensory AI. Understanding the current landscape will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Showcase your experience with automation tools and CI/CD pipelines. Be prepared to discuss specific projects where you've implemented these technologies, as they are crucial for operational excellence in this role.
✨Tip Number 3
Highlight your hands-on experience with Kubernetes and AWS services. These skills are essential for managing LLM infrastructure, so be ready to provide examples of how you've utilized them in past roles.
✨Tip Number 4
Demonstrate your ability to work collaboratively in a fast-paced environment. Share experiences where you've successfully coordinated with multiple teams or tackled complex issues, as teamwork is key in this position.
We think you need these skills to ace System Develpment Engineer, AGI - Modeling Services
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the System Development Engineer position. Understand the key responsibilities and qualifications required, especially the programming languages and technologies mentioned.
Highlight Relevant Experience: In your application, emphasize your experience with systems engineering, networking, and storage systems. Make sure to showcase your hands-on experience with the required programming languages and tools like Kubernetes and AWS.
Showcase Problem-Solving Skills: Since the role involves troubleshooting and resolving defects, include examples in your application that demonstrate your problem-solving abilities and how you've tackled complex issues in previous roles.
Express Your Passion: Convey your enthusiasm for working in a team that focuses on innovation and operational excellence. Mention any relevant projects or experiences that align with the AGI team's mission of revolutionizing machine perception and interaction.
How to prepare for a job interview at Amazon
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and how it can revolutionize human interaction with technology. Share any personal projects or experiences that highlight your passion for the field.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with programming languages like Python, Ruby, or Java. Highlight specific projects where you utilized these skills, especially in relation to LLM infrastructure or automation tools.
✨Emphasize Problem-Solving Skills
Prepare examples of how you've tackled complex issues in previous roles. Discuss your approach to troubleshooting and resolving defects, particularly in distributed systems or during high-pressure situations.
✨Collaborate and Communicate
Since the role involves working with various teams, be ready to talk about your experience in collaborative environments. Share instances where you successfully coordinated with peers and senior leaders to drive projects to completion.
