ML Scientist

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

Job summary

Wispr Flow is seeking a ML scientist to design and build advanced voice interfaces. You will play a key role in creating a scalable voice interface for millions of users worldwide, working on infrastructure for swift LLM inference and personalization of voice models.

The ideal candidate possesses a PhD in machine learning, a strong publication record, and expertise in Python and LLM development.

Qualifications

• PhD in machine learning or related field (neuroscience, EE, etc).
• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP).
• Fluency in Python and LLM development.

Responsibilities

• Build first capable voice interface that scales to a billion users.
• Prototype and design new features of our voice interface.
• Building infrastructure for fast LLM inference.

Skills

ML personalization

Python

LLM development

R&D creativity

Attention to detail

Education

PhD in machine learning or related field

Job description

About the Role

As a ML scientist at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs. You'll be primarily responsible for ML personalization, training speech models, and using fine-tuning and RL techniques to improve LLMs.

What are we looking for?

• PhD in machine learning or related field (neuroscience, EE, etc)
• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)
• Fluency in Python and LLM development
• Attention to detail and eagerness to learn
• Aptitude and clarity of thought
• Creativity in R&D, excellence in engineering, and code velocity

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.