Machine Learning Specialist
3 days ago
About the Opportunity
As a Software Development Engineer/Machine Learning Engineer on our AGI team, you will have the chance to work on some of the most exciting and challenging projects in the field of artificial intelligence. You will be responsible for developing novel algorithms and modeling techniques to advance the state of the art of large model training using cutting-edge hardware like NVIDIA GPUs.
Your Key Responsibilities
- Design, develop, and maintain key platforms needed for developing, evaluating, and deploying Large Language Models (LLMs) for real-world applications.
- Collaborate with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility.
- Work closely with applied scientists to process massive data, scale machine learning models while optimizing.
About the Team
You will be part of a dynamic team that works closely with top minds pushing boundaries in deep learning, reinforcement learning, and more. This is a unique opportunity to create history and shape the future of artificial intelligence.
Mission of the Team
We aim to leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation, and interaction, with humans and with the physical world.
What We Offer
- A competitive salary range of $144,900 - $241,100 per year, based on location and experience.
- A comprehensive benefits package, including medical, financial, and other perks.
- An opportunity to work on cutting-edge projects and technologies.
- A collaborative and dynamic work environment.
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.
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Master's degree in computer science or equivalent.
- Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware-specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.
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