Remote ML Research Scientist: Generative AI & Robustness

SaidGig; New York (NY); Teletrabalho; USD 138 000 - 165 000; Tempo parcial

Resumo da oferta

SaidGig is seeking a research-oriented engineer to advance empirical machine learning research across computer vision and language modeling. The role focuses on training, improving, evaluating, and deploying deep learning systems within real data, compute, model-size, and latency constraints.

You will train image classifiers and generative image models, fine-tune open-weight LMs, and push performance under tight budgets.

Qualificações

• 3+ years of ML research experience (PhD counts)
• Degree from top-100 university or equivalent research record required
• Strong experience with PyTorch, JAX, or TensorFlow

Responsabilidades

• Work on well-scoped, open-ended empirical ML research problems.
• Train image classifiers and generative image models from scratch, and fine-tune open-weight language models.
• Improve model performance under limited data, compute, and latency budgets.
• Strengthen models against adversarial inputs and adversarial conversations.
• Compress models to satisfy strict size and latency requirements while maintaining accuracy.
• Diagnose and resolve model-training issues.

Conhecimentos

Adversarial robustness

Efficient vision models

Generative modeling

LLM alignment & training

Multilingual pre-training

Research scalability

Formação académica

PhD in ML or related field

Ferramentas

PyTorch

JAX

TensorFlow

Descrição da oferta de emprego

SaidGig is seeking a research-oriented engineer to advance empirical machine learning research across computer vision and language modeling. The role focuses on training, improving, evaluating, and deploying deep learning systems within real data, compute, model-size, and latency constraints.

You will train image classifiers and generative image models, fine-tune open-weight LMs, and push performance under tight budgets.