FirstBank Jobs

Description

We’re working to improve shopping on Amazon using the conversational capabilities of large language models (LLM), and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Key job responsibilities

Key job responsibilities

In this role you will leverage both your engineering and machine learning background to help develop generative AI for shopping. On a day-to-day basis, you will:

• Design and implementation of a stable and efficient training infrastructure for pre-training, fine tuning and RLHF that scale to a large model size and hardware such as GPU resources.

• Collaborate with other talented applied scientists and engineers to improve training infrastructure that accelerates innovation.

• Quickly learn cutting-edge technologies and algorithms in the field of Generative AI.

• Support training on other platforms, such as AWS Trainium.

• Improve the training efficiency from different layer, such as framework and GPU optimization

We are open to hiring candidates to work out of one of the following locations:

Palo Alto, CA, USA | Seattle, WA, USA

Basic Qualifications

• 2+ 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.

• Experience in machine learning, data mining, information retrieval, statistics or AI

Preferred Qualifications

• Any experience with the following will be a big plus:

• -Experience with CUDA

• -Experience with Pytorch or Tensorflow

• -Experience with distributed training

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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.