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- Tasks: Join us to develop cutting-edge LLM technology and enhance customer experiences.
- Company: Be part of Amazon's innovative AGI vertical services team, creators of Alexa's voice.
- Benefits: Enjoy a collaborative environment, flexible work options, and the chance to impact millions.
- Why this job: Work on complex problems in speech tech and see your code make a real difference.
- Qualifications: BS/MS in Computer Science or equivalent, ML engineering experience, and proficiency in modern programming languages.
- Other info: Diversity is key at Amazon; we welcome applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
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 Software Development 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.
BASIC QUALIFICATIONS- 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 building and deploying LLMs
- Experience in NLP, deep learning
- Experience with end-to-end agile software development
- ML operations experience
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 our website for more information.
Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM technology and generative speech systems. Being able to discuss recent developments or innovations during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the community by contributing to open-source projects related to machine learning or LLMs. This not only enhances your skills but also shows potential employers your commitment to the field and your ability to collaborate with others.
✨Tip Number 3
Prepare to discuss your experience with distributed systems and how they relate to customer experiences. Be ready to provide examples of past projects where you successfully implemented solutions that improved user interactions.
✨Tip Number 4
Network with professionals in the industry, especially those working at Amazon or similar companies. Attend relevant meetups or conferences to make connections and gain insights that could help you stand out during the application process.
We think you need these skills to ace Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine (Basé à London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as LLMs, distributed systems, and programming languages like Java and Python.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, software development, and any specific projects related to LLMs or speech technologies. Use keywords from the job description to ensure your CV aligns with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your understanding of the impact it has on customer experiences. Mention specific examples of your work that relate to the role and express why you want to join Amazon's AGI vertical services team.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Golden Bees
✨Showcase Your Passion for Machine Learning
Make sure to express your enthusiasm for machine learning and how it drives you. Discuss any personal projects or experiences that highlight your passion for developing innovative solutions in this field.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with programming languages like Java, C/C++, and Python. You might be asked to solve coding problems or explain algorithms, so brush up on your CS fundamentals and be ready to showcase your skills.
✨Understand Distributed Systems
Since the role involves working with low-latency distributed systems, make sure you can articulate your understanding of how these systems work. Be ready to discuss any relevant experience you have in building or deploying such systems.
✨Prepare for Collaborative Scenarios
The interview may include questions about teamwork and collaboration. Think of examples where you've successfully worked with cross-functional teams, especially in dynamic environments, and be ready to share those experiences.
