Senior ML Engineer — NLP, LLMs & Production Deployment

Hamster; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A tech-driven company in San Francisco is seeking an experienced Machine Learning Engineer to develop and implement machine learning solutions. The ideal candidate should have a Master's degree or PhD in Computer Science and at least 5 years of experience in machine learning development. Responsibilities include designing custom models, optimizing transformer architectures, and collaborating with teams to deploy solutions. Candidates with strong programming skills in Python and familiarity with cloud platforms are preferred.

Qualifications

• 5+ years of experience in machine learning development and deployment.
• Deep understanding of transformer architectures and applications in NLP.
• Experience with large language models and fine-tuning techniques.

Responsibilities

• Design and develop custom machine learning models for business use cases.
• Implement and optimize transformer architectures for NLP tasks.
• Monitor and maintain model performance in production.

Skills

Machine learning development

Transformer architectures

Python programming

Natural language processing

ML frameworks (PyTorch, TensorFlow)

Model deployment

Data preprocessing

Problem-solving

Strong communication skills

Education

Master's degree or PhD in Computer Science or related field

Tools

AWS SageMaker

Google Vertex AI

Job description

A tech-driven company in San Francisco is seeking an experienced Machine Learning Engineer to develop and implement machine learning solutions. The ideal candidate should have a Master's degree or PhD in Computer Science and at least 5 years of experience in machine learning development. Responsibilities include designing custom models, optimizing transformer architectures, and collaborating with teams to deploy solutions. Candidates with strong programming skills in Python and familiarity with cloud platforms are preferred.