ML Engineer

Building voice intelligence and voice-first interfaces that understand users, making voice dictation more prevalent than keyboard use.
$140,000 - $215,000
Machine Learning
Senior Software Engineer
Hybrid
11 - 50 Employees
2+ years of experience
AI

Description For ML Engineer

Wispr Flow is revolutionizing voice intelligence technology, creating interfaces that truly understand users. As the first consumer voice dictation platform to surpass keyboard usage, we're at the forefront of voice-first experiences. We're seeking an experienced ML Engineer to join our innovative team.

The role offers an exciting opportunity to work on cutting-edge AI technology, focusing on training, fine-tuning, reinforcement learning, and inference for ML models. You'll be instrumental in launching new features and product lines, working directly with founders and product engineers to push technological boundaries.

We're backed by prestigious VCs like NEA, 8VC, and Neo, having raised $26M, with notable advisors including Chester Chipperfield (Apple Watch), Arash Ferdowsi (Dropbox CTO), and Will Ahmed (Whoop CEO). Our founders bring strong credentials as Stanford alums with previous successful exits.

The position offers competitive compensation ($140,000-$215,000) plus equity, comprehensive benefits, and a flexible work environment. We value diversity and foster an inclusive culture built on high agency, open communication, user obsession, and attention to detail.

This is an ideal opportunity for someone passionate about ML/AI who wants to make a significant impact in voice technology while working with some of the brightest minds in AI, engineering, and design. The role offers end-to-end ownership of ML initiatives and the chance to work on large-scale, innovative projects in a fast-paced, autonomous environment.

Last updated an hour ago

Responsibilities For ML Engineer

  • Push the frontiers of multi-modal models to solve key challenges across latency, hallucinations, context-awareness, personalization, and inference
  • Improve the core voice / agentic AI models
  • Collaborate with founders and product engineers
  • Build fast, reliable, and scalable inference systems

Requirements For ML Engineer

Python
  • Deep understanding of LLMs and transformer-based architectures
  • Expertise in Python (2+ years)
  • Experience with ML frameworks: TensorFlow, Keras, Numpy, Scipy, Pandas
  • Ability to thrive in a customer-focused, tight-knit environment
  • Strong desire to learn and fill in missing skills

Benefits For ML Engineer

401k
Dental Insurance
Medical Insurance
Vision Insurance
Parental Leave
Visa Sponsorship
Commuter Benefits
Relocation Benefits
  • Generous health, dental, and vision coverage
  • Generous parental leave
  • Unlimited PTO
  • Visa assistance
  • 401k match
  • Commuter benefits
  • Relocation assistance
  • Stock options

Interested in this job?

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