Research Engineer II, Agents AI
نُشرت في :
22-06-2025
صاحب العمل نشط
1 وظيفة شاغرة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
شارك هذه الوظيفة
أرسل لي وظائف مشابهة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
الوصف الوظيفي
Amazon Q for business is AWSs generative AI assistant for enterprises. A research engineer at Plato needs to have a strong background in AWS production services AI cloud infrastructure along with a proven track record of delivering results. A research engineer will participate in AI research develop toolings and experiment frameworks to improve science teams productivity interface with engineering team to fill in any gaps help to gauge science code quality and attend code reviews manage science on-calls as well as maintain infrastructures.
Agentic AI drives innovation at the forefront of artificial intelligence enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners applied scientists software engineers and solution architects who work backwards from customer needs to create groundbreaking technologies. If youre passionate about shaping the future of AI while making a meaningful impact for customers worldwide we want to hear from you.
Key job responsibilities
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies fine-tuning techniques for embedding models and LLMs
* Tool development: build and improve toolings that applied scientists would need including scalable science experiment frameworks low-latency testing pipelines data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper review and hold science code quality to production standard
* Manage science infrastructure: act as admin to manage all science AWS account including patch any security risks build templates AWS Cops conduct cost reduction operations
A day in the life
A Research Engineer supports Applied Scientists in the team by helping to build tools experiment frameworks and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.
About the team
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 3 years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Masters degree or equivalent
- 3 years of building large-scale machine-learning infrastructure for online recommendation ads ranking personalization or search experience
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Masters degree in computer science or equivalent
- 3 years of machine learning statistical modeling data mining and analytics techniques experience
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Agentic AI drives innovation at the forefront of artificial intelligence enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners applied scientists software engineers and solution architects who work backwards from customer needs to create groundbreaking technologies. If youre passionate about shaping the future of AI while making a meaningful impact for customers worldwide we want to hear from you.
Key job responsibilities
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies fine-tuning techniques for embedding models and LLMs
* Tool development: build and improve toolings that applied scientists would need including scalable science experiment frameworks low-latency testing pipelines data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper review and hold science code quality to production standard
* Manage science infrastructure: act as admin to manage all science AWS account including patch any security risks build templates AWS Cops conduct cost reduction operations
A day in the life
A Research Engineer supports Applied Scientists in the team by helping to build tools experiment frameworks and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.
About the team
About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 3 years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Masters degree or equivalent
- 3 years of building large-scale machine-learning infrastructure for online recommendation ads ranking personalization or search experience
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Masters degree in computer science or equivalent
- 3 years of machine learning statistical modeling data mining and analytics techniques experience
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
نوع التوظيف
دوام كامل
القسم / المجال المهني
المهارات المطلوبة
الإبلاغ عن هذه الوظيفة
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا
