Skip to content
ML Scientist
| Company | Wispr AI |
|---|
| Location | San Francisco, CA, USA |
|---|
| Salary | $140000 – $215000 |
|---|
| Type | Full-Time |
|---|
| Degrees | PhD |
|---|
| Experience Level | Senior, Expert or higher |
|---|
Requirements
- You’ve published seminal research / have a PhD
- Deep understanding of LLMs and transformer-based architectures
- Have a voracious and intrinsic desire to learn and fill in missing skills
- Thrive in a customer-focused, tight-knit and cross-functional environment
- Expertise in Python (2+ years)
- Experience with ML / scientific frameworks: TensorFlow, Keras, Numpy, Scipy, Pandas.
Responsibilities
- Push the frontiers: Innovate across multi-modal models to solve key challenges across latency, hallucinations, context-awareness, personalization, and inference
- Improve the core voice / agentic AI models: Drive key improvements across all models and interfaces, ensuring excellence in performance and usability
- Collaborate across teams: Work closely with the founders and product engineers to push the boundaries of what’s possible
- Build for scale: Architect fast, reliable, and scalable inference that handle massive audiences effortlessly
Preferred Qualifications
- ML inference, multi-modal models, RL / DPO, fine-tuning, audio, async programming, low-level systems, data pipelines
- Large-scale and high-load production systems
- Implementation of advanced methods for efficient fine-tuning
- Maintaining or contributing to open-source ML projects
- Managing machine learning workloads on Kubernetes clusters
