Senior AI Engineer: LLMs, NLP & Multimodal ML

Uniphore Technologies North America Inc; Palo Alto (CA); On-site; USD 169,800 - 233,500; Full time

Benefits offered by this job

Insurance

401(k) with a match

Pre-IPO stock options

Paid time off

Paid holidays

Birthday paid day off

Job summary

Uniphore Technologies North America Inc in Palo Alto is seeking a Senior AI Engineer to harness machine learning and Generative AI techniques effectively. The successful candidate should possess strong foundations in computer science and algorithms, along with significant industry experience.

The role involves evaluating and developing advanced language models for enterprise applications, delivering production-ready code, and working with large datasets. Competitive compensation and benefits, including insurance and pre-IPO options, are offered.

Qualifications

• Master’s or Bachelor’s degree in relevant fields with required experience.
• 5 years industry experience in AI, NLP, Vision, and ASR.
• Expertise in Python and developing production-ready, scalable code.

Responsibilities

• Evaluate and develop state-of-the-art language models.
• Write production-ready code and manage large datasets.
• Collaborate with teams on AI services and solutions.

Skills

Machine Learning

Natural Language Processing

Python programming

Deep Learning

Data analysis

Transformers

PyTorch/TensorFlow

Education

Master’s degree in Computer Science, Engineering or related fields

Bachelor’s degree in Computer Science, Engineering or related experiences

Tools

Docker

AWS

Kubernetes

Hugging Face library

Job description

Uniphore Technologies North America Inc in Palo Alto is seeking a Senior AI Engineer to harness machine learning and Generative AI techniques effectively. The successful candidate should possess strong foundations in computer science and algorithms, along with significant industry experience.

The role involves evaluating and developing advanced language models for enterprise applications, delivering production-ready code, and working with large datasets. Competitive compensation and benefits, including insurance and pre-IPO options, are offered.