SDE II, Rufus - LLM Training, Amazon
DESCRIPTION
Join Us in Transforming the Future of Shopping with Generative AI!
At Amazon Stores, we’re creating a new foundational Large Language Model (LLM) that blends general world knowledge with Amazon's unparalleled e-commerce expertise. This transformative technology will redefine how customers shop, discover, and engage with Amazon. If you’re passionate about ground breaking innovation, solving complex problems, and making a meaningful impact, we want you on this journey with us.
Imagine being part of a dynamic team where your work directly shapes the future of shopping. This is your opportunity to collaborate with world-class scientists, engineers, and product managers, leveraging your expertise to create something extraordinary for millions of customers around the globe.
Key job responsibilities
In this role, you will play a critical part in building and scaling Amazon’s next-generation AI models. Your day-to-day responsibilities will include:
* Developing robust machine learning pipelines to enable base model pre-training, instruction fine-tuning, post-training of large-scale language models.
* Creating tools and frameworks to accelerate experimentation and unlock deeper insights into model performance.
* Driving efficiency and stability improvements in core dependencies, such as NVIDIA NeMo and Megatron-LM, to optimize training performance and ensure reliable, cost-effective operations
* Collaborating with partner teams to define system requirements, align on experiments, and plan seamless deployments.
* Navigating ambiguity and delivering impactful results through short-term solutions and long-term strategy.
Why Join Us?
At Amazon, we’re not just building technology; we’re redefining experiences. This role offers:
* Impact at Scale: Your work will directly enhance the shopping experience for millions of customers worldwide.
* Cutting-Edge Tools: Hands-on opportunities to work with Native AWS technical stack, Kubernetes, and advanced LLM frameworks like NeMo and Megatron-LM.
* Collaboration with Visionaries: Work alongside some of the brightest minds in AI and machine learning to solve unprecedented challenges.
* A Culture of Innovation: At Amazon, we embrace experimentation, creativity, and the freedom to bring big ideas to life.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience in developing machine learning pipelines, developing large language model or natural language understanding models.
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.