Machine Learning Engineer

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.
As a Machine Learning Engineer in AGI vertical services , you will work with talented peers on low-latency distributed systems in the latest generative speech technology. Your work will be characterized by high scale, complexity and the need for invention. You'll need to be passionate about distributed systems and understand how technology translates into customer experience. You will directly impact our customers and change the landscape of voice-based interactions. You can see and hear your code making a difference. How cool is that?

The minimum base pay salary for this position is listed below. As a total compensation company, Amazon's package may include further pay components such as a sign on payment and the eligibility to participate in a restricted stock unit scheme operated independently by Inc. in USA. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements.

Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).

The minimum base pay for this position is PLN 19,167 monthly.

- BS/MS in Computer Science or equivalent experience
- Be flexible in delivering solutions in dynamic environment
- Be familiar with working with science , engineering and product teams
-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

- 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

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 ) 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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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