ML Engineer

Building voice intelligence and voice interfaces that aim to replace screen-first technologies with voice-first experiences.
$140,000 - $215,000
Machine Learning
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
2+ years of experience
AI

Description For ML Engineer

Wispr Flow is revolutionizing voice intelligence with their innovative voice dictation platform that has successfully made users prefer voice over keyboards. They're seeking an experienced ML Engineer to join their mission of creating ubiquitous voice interfaces. The role offers an exciting opportunity to work at the cutting edge of AI technology, focusing on training, fine-tuning, reinforcement learning, and inference for ML models.

The position combines technical depth with practical impact, requiring expertise in LLMs, transformer architectures, and Python programming. You'll be working on solving complex challenges in latency, hallucinations, context-awareness, and personalization while building scalable inference systems that can handle massive audiences.

The company, backed by $26M in funding from prestigious VCs like NEA, 8VC, and Neo, offers a dynamic work environment with high-velocity innovation and end-to-end ownership of projects. The team includes Stanford alums and experienced entrepreneurs, providing an excellent opportunity to work with some of the brightest minds in AI, engineering, and design.

Benefits are comprehensive, including competitive salary ($140,000-$215,000), stock options, health coverage, and various perks like unlimited PTO and relocation assistance. The hybrid work environment in San Francisco offers flexibility while maintaining collaborative opportunities. This role is perfect for someone passionate about voice technology and AI who wants to make a significant impact in transforming how people interact with technology.

Last updated 2 hours ago

Responsibilities For ML Engineer

  • Push the frontiers: Innovate across multi-modal models to solve key challenges
  • Improve the core voice / agentic AI models
  • Collaborate across teams with founders and product engineers
  • Build for scale: Architect fast, reliable, and scalable inference systems

Requirements For ML Engineer

Python
Kubernetes
  • Deep understanding of LLMs and transformer-based architectures
  • Expertise in Python (2+ years)
  • Experience with ML / scientific frameworks: TensorFlow, Keras, Numpy, Scipy, Pandas
  • Have a voracious and intrinsic desire to learn and fill in missing skills
  • Thrive in a customer-focused, tight-knit and cross-functional environment

Benefits For ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Commuter Benefits
Visa Sponsorship
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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