TL;DR
Senior Machine Learning Engineer (AI): Developing and optimizing custom Large Language Models (LLMs) and generative AI solutions with an accent on large-scale distributed training pipelines, model fine-tuning, and optimization for AWS custom AI hardware. Focus on designing scalable training systems, collaborating with enterprise customers, and deploying high-performance AI models on AWS infrastructure.
Location: Remote
Salary: $151,300–$261,500 per year
Company
hirify.global is part of Amazon Web Services, a leading global cloud platform innovating in AI and cloud computing technologies.
What you will do
- Design and implement distributed training pipelines for large language models using tools like FSDP and DeepSpeed.
- Fine-tune and customize LLMs for various languages, domains, and vision applications including RLHF.
- Optimize AI models for deployment on AWS Inferentia and Trainium using AWS Neuron SDK and custom kernels.
- Collaborate with enterprise customers and foundational model providers to co-develop tailored generative AI solutions.
- Drive innovation in end-to-end LLM training pipelines at massive scale.
Requirements
- Location: Remote work with preference for US-based candidates.
- 5+ years of professional software development experience including design and architecture of scalable systems.
- Hands-on experience with deep learning, machine learning methods, and generative AI technologies.
- Experience mentoring or leading engineering teams.
- Bachelor's degree in computer science or equivalent preferred.
- Proficiency in at least one ML library or framework and software development lifecycle.
Culture & Benefits
- Flexible work-life balance and remote work culture.
- Inclusive and diverse team environment with employee-led affinity groups.
- Mentorship and continuous career growth opportunities.
- Comprehensive compensation including base salary, equity, and benefits.
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