Senior Software Dev Engineer, AGI Vertical Service Inference & Engine

Amazon Jobs; Województwo pomorskie; On-site; PLN 240,000 - 320,000; Full time

Job summary

A leading technology company in Poland is seeking a passionate Machine Learning Engineer to solve complex problems in speech technologies. The ideal candidate will have a Master's in Computer Science and strong AI/ML experience. Responsibilities include delivering solutions in a dynamic environment and collaborating with various teams. Proficiency in programming languages and English is essential. This role is set in an inclusive culture that values diversity.

Qualifications

• Experience in LLM research to production workflow.
• Proficiency in at least one modern programming language.
• English language working proficiency.

Responsibilities

• Deliver solutions in a dynamic environment.
• Work with science, engineering and product teams.
• Contribute to team discussions.

Skills

LLM inference serving & optimizations

AI/ML engineering experience

Java, C/C++, C#

Python, Ruby, Perl

Linux/Unix systems

Professional communication skills

Distributed systems

Agile software development

Education

Masters in Computer Science or equivalent AI/ML experience

Job description

Overview

Want to work on one of the coolest and most innovative pieces of LLM technology in recent years? Come join us! We're the AGI vertical services at Amazon. We build best-in-class LLM inference engine and create magical experiences on Amazon's growing portfolio of multi modal LLM products. We're the team that built Alexa's voice, which powers millions of Echo devices across the globe. We are looking for a passionate and experienced Machine Learning Engineer to join us. If you want to solve complex problems that push the boundary of speech technologies, this position is for you. If you love creating brand new customer experiences with your software expertise, this position is for you. If you enjoy a collaborative environment, working with amazing engineers and scientists, this position is for you.

Responsibilities

• Masters in Computer Science or equivalent AI/ML experience
• Founder mode mindset with excellent bias for action
• Experience in LLM research to production workflow
• Be flexible in delivering solutions in dynamic environment
• Expertise in LLM Inference serving & optimizations
• Be familiar with working with science, engineering and product teams
• Strong AI/ML engineering experience in development of LLMs
• Proficiency in at least one modern programming language (Java, C/C++, C#)
• Proficiency in at least one scripting language (Python, Ruby, Perl)
• Experience with Linux/Unix systems and Bash scripting
• Solid knowledge of CS fundamentals (algorithms, data structures)
• Professional communication skills and ability to contribute to team discussions
• English language working proficiency

Qualifications (continued)

• Familiarity with model deployment, evaluations and scalability
• Streaming and multi modal LLM experience
• Experience with various processes in the full SDLC (coding standards, code reviews, source control, build systems, integration and deployment, maintenance, updates, etc.)
• Distributed systems
• Experience with both front-end and back-end
• Efficient technical communication with peers and non-technical cohorts
• Experience with end-to-end agile software development

EEO and Privacy

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.