ML Engineer
At a glance
Mid-level Machine Learning Engineering 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
- Prototype and shape new capabilities for the voice interface
- Build infrastructure to keep LLM responses under 500 milliseconds at high request volumes
- Scale speech models and LLM personalization through fine-tuning and reinforcement learning
What you bring
- You have worked at a founding-stage company or startup
- You have optimized ML inference or built systems for research teams
- You are fluent in Python and LLM development
Who this fits
This mid-level, full-time role is based on-site in San Francisco. It suits an ML engineer focused on voice interfaces, inference systems, and model personalization. Visa sponsorship may be available, with no guarantee for every role.
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 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.
What are we looking for?
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
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.