Staff Research Engineer: LLM Efficiency Architect

Deepstreamtech; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Deepstreamtech is seeking a Staff Research Engineer to focus on improving large language model (LLM) efficiency. This role will involve developing and deploying innovative techniques aimed at boosting model performance during production. Candidates should have a PhD in Machine Learning and strong software engineering skills for a collaborative startup environment.

The ideal candidate will be passionate about mentorship and have a proven track record of publications in top-tier AI conferences.

Qualifications

• Must have a PhD in Machine Learning or a related field.
• Strong understanding of LLM architecture and optimization.
• Experience with techniques to enhance model efficiency.
• Proven software engineering skills.

Responsibilities

• Develop, prototype, and deploy techniques to enhance LLM inference efficiency.
• Work on model architecture and optimization for performance improvements.
• Contribute to decoding and inference-time algorithm improvements.

Skills

Machine Learning expertise

Software engineering

Model efficiency techniques

Mentoring

Education

PhD in Machine Learning or related field

Job description

Deepstreamtech is seeking a Staff Research Engineer to focus on improving large language model (LLM) efficiency. This role will involve developing and deploying innovative techniques aimed at boosting model performance during production. Candidates should have a PhD in Machine Learning and strong software engineering skills for a collaborative startup environment.

The ideal candidate will be passionate about mentorship and have a proven track record of publications in top-tier AI conferences.