Remote AI Pre-Training Research Engineer

Jobgether; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Fully remote work environment

Access to advanced computing infrastructure

Professional growth opportunities

Collaborative global culture

Job summary

Jobgether is seeking an AI Research Engineer - Pre training in the United States. This fully remote role involves working on challenging AI systems, focusing on the design and optimization of large-scale model pre-training pipelines. Candidates should have strong experience with large language models and machine learning frameworks such as PyTorch and TensorFlow. Join a collaborative global culture dedicated to innovation in artificial intelligence and contribute to groundbreaking products shaping the future of this technology.

Qualifications

• Strong experience working with large language models and AI pre-training methodologies.
• Deep understanding of distributed machine learning systems.
• Proven expertise in machine learning frameworks.
• Solid background in deep learning optimization.
• Experience designing and executing experiments.

Responsibilities

• Design and optimize large-scale AI model pre-training pipelines.
• Research and prototype advanced architectures for AI systems.
• Conduct experiments, analyze results, and iterate methodologies.
• Resolve bottlenecks related to model performance and scalability.
• Collaborate with engineering and research teams.

Skills

Experience with large language models

Knowledge of transformer architectures

Expertise in machine learning frameworks (PyTorch, TensorFlow)

Strong programming skills in Python

Understanding of distributed machine learning systems

Deep learning optimization

Analytical and problem-solving skills

Education

Advanced degree in Computer Science or related field

Job description

Jobgether is seeking an AI Research Engineer - Pre training in the United States. This fully remote role involves working on challenging AI systems, focusing on the design and optimization of large-scale model pre-training pipelines. Candidates should have strong experience with large language models and machine learning frameworks such as PyTorch and TensorFlow. Join a collaborative global culture dedicated to innovation in artificial intelligence and contribute to groundbreaking products shaping the future of this technology.