Job Description

Are you ready to shape the future of conversations by being part of a dynamic team in the forefront of LLM / Large Language Model innovation for a well-established conversational AI unicorn?

They are expanding their teams to pioneer LLM advancements throughout their business, and they want you, an Applied ML Scientist with experience in LLMs to be an integral part of this exciting journey.

Your role will involve applying Language Models to a variety of products, including multimodal systems, dialog systems/conversational AI (chat and voicebots), and diverse NLP solutions, ranging from call transcripts to named entity recognition and trust & safety.

In this position, you will conduct research, design, build, and deploy transformer-based models for large-scale production. Your responsibilities include fine-tuning Language Models for various conversational AI products, including multimodal solutions that support both text and image. You will be part of a team focussed on the development, training, and testing of large-scale models, emphasizing latency, quality, safety, and cost reduction to minimize hallucinations.

Your background should include industry experience in Machine Learning/Deep Learning post-Masters. PhDs are also considered should your research topic be in LLMs, Conversational AI or NLP. Recent experience should include production work, fine-tuning Language Models, and experience with transformer-based architectures.

This is a hybrid role based in the Bay Area or NYC, with two days per week in the office. Competitive basic salaries, starting from $140,000 (for those straight from PhD to $200,000 at senior/staff levels (negotiable based on experience), are complemented by generous stock options, annual bonuses, 401k match, healthcare (medical, dental, vision), and substantial PTO.

Seize the opportunity! Apply today for immediate consideration and be a part of shaping the future of conversational AI.