ML Scientist
At a glance
Mid-level AI Research role at Wispr Flow. San Francisco · full-time · $250,000–$400,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Develop personalization methods for speech models and language models
- Train speech models to improve how the voice interface responds to individual users
- Apply fine-tuning and reinforcement learning to improve language models
What you bring
- A doctorate in machine learning or a related discipline such as neuroscience or electrical engineering
- A strong research publication record at leading conferences, including ICML, NeurIPS or another listed venue
- Working fluency in Python and language model development
Who this fits
This role suits a machine learning researcher who combines research creativity with strong engineering and fast coding. The job is onsite in San Francisco. Wispr may sponsor several visa categories and says sponsorship depends on the offer.
From the employer
About Wispr
Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.
Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.
We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.
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
Logistics
We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.
We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.
We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.