Sr. Software Dev. Engineer/MLE, AGI Customization
2 settimane fa
Sr. Software Dev. Engineer/MLE, AGI Customization
Job ID: 2967711 | Amazon.com Services LLC
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation. As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.
Key Responsibilities
- Investigate design approaches, prototype new technology and evaluate technical feasibility with other team engineers.
- Process data, scale machine learning models while optimizing with Applied Scientists.
- Deliver high quality software in an Agile/Scrum environment.
About the Team
Mentorship & Career Growth – Our team supports new members, provides one‑on‑one mentoring and thorough code reviews to help members grow into better‑rounded engineers and take on more complex tasks.
Work/Life Balance – We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Basic Qualifications
- 5+ years of non‑internship professional software development experience.
- 5+ years of programming with at least one software programming language.
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
- Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications
- 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor’s degree in computer science or equivalent.
Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
Compensation and Benefits
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
Position will remain posted until filled. Applicants should apply via our internal or external career site.
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