TL;DR

Machine Learning Engineer (Generative AI/LLM): Building and optimizing custom Large Language Models across languages, domains, and modalities with an accent on distributed training pipelines, fine-tuning, and model optimization for AWS AI accelerators. Focus on tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.

Location: Must be based in the United States. Applicants from Los Angeles County are also considered.

Salary: $129,300–$223,600/year

Company

%hirify_global% (AWS) is a comprehensive cloud platform that empowers customers to leverage state-of-the-art AI technologies for transformative business opportunities.

What you will do

Design and implement distributed training pipelines for LLMs, ensuring scalability and efficiency.
Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).
Optimize AI models for deployment on AWS Inferentia and Trainium using the AWS Neuron SDK.
Collaborate with enterprise customers and foundational model providers to co-develop tailored generative AI solutions.

Requirements

3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture experience in new and existing systems.
Bachelor's degree in computer science or equivalent.
Hands-on experience with deep learning and/or machine learning methods (e.g., for training, fine-tuning, and inference).
Hands-on experience with generative AI technology.

Culture & Benefits

Emphasis on work-life harmony and flexibility in the working culture.
Inclusive team culture promoted by employee-led affinity groups and inclusion events.
Access to knowledge-sharing, mentorship, and career-advancing resources.
Opportunity to innovate at the forefront of AI within a diverse team of technical experts.

Machine Learning Engineer, Model Customization (Generative AI)