Join Wispr Flow as a ML Engineer to build a scalable voice interface for millions of users.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 hours ago
AI in the day-to-day
Engineers are building a capable voice interface that scales to a billion users.
Requirements
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In the role of ML Engineer at Wispr Flow, the individual will focus on prototyping and designing features for a voice interface aimed at scaling to a billion users. Key skills include proficiency in Python, experience with machine learning inference, and a background in startup environments. This position is well-suited for candidates with a strong engineering mindset and a creative approach to problem-solving. Wispr's small team dynamic allows for significant influence over product development, fostering a collaborative and innovative work culture.
Joblaze insights
Quick facts
From the original posting
As a ML engineer 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 with fine-tuning and RL.
Previous founding or startup experience
Experience optimizing ML inference or engineering systems for research teams
Fluency in Python and LLM development
Attention to detail and eagerness to learn
Aptitude and clarity of thought
Creativity, excellence in engineering, and code velocity
Standard company text repeated across Wispr Flow's postings is omitted here.
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