ML Engineer, Voice & AI

ABOUT FREED:

Doctors are overworked, burnt out, and are quitting in masses.

At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier.

Our first product is an AI scribe that automates medical documentation.

Since May of 2023, we have:

• Acquired 26,000 paying and loving clinicians

• Generated 100,000 patient notes daily and over 3 million monthly

• Made thousands of clinicians happier

With the backing of Sequoia Capital and other world-class VC’s, we are rapidly expanding our product offering. Patient-facing assistants, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians every day.

We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who care for our health. Expect intense, clinician-focused, and interesting co-workers who want to win.

With an office in San Francisco, we embrace a hybrid schedule that brings out the best in teamwork and innovation. Our teams come together in person three days a week to collaborate, connect, and have a little fun along the way.

About the Role:

We're on the hunt for talented, high-caliber individuals to join our elite team of engineers. As part of our team, you'll play a pivotal role in restoring joy to medicine while pushing the boundaries of what's possible with AI technology. Our engineering culture emphasizes speed, end-to-end ownership, responsibility, and independence, attracting top-tier talent and promoting exceptional performance.

How You’ll Have Impact:

• Evaluate and fine-tune open source speech recognition models to provide new capabilities and better quality.

• Optimize inference infrastructure (WhisperX, Kubernetes, NATS) for stability and performance.

• Since the team is small, it’s likely you’ll have opportunities to work with Open Source large language models as well.
  
  

What You’ll Bring:

• 2+ years working with speech recognition models.

• 5+ years of Machine Learning or Software experience.

• A history of consistent top performance and a desire for a mission-driven work culture.
  
  

Nice to Haves:

• Experience using TypeScript. While our ASR infrastructure is Python, the rest of our production infrastructure (LLM evaluations, web infrastructure) uses TypeScript.

• Experience shipping models that power specific products, adapting models to feedback from customers or users, and analyzing the impact of ML improvements on business outcomes.

• Experience in data preparation and synthetic data generation.
  
  

What We’ll Bring:

• Competitive salary and equity in a high-growth company

• Opportunity to make an immediate impact

• Medical, dental, and vision coverage

• Unlimited paid time off

• Company-sponsored annual retreats

• 401(k) plan to support your long-term financial goals

• Commuter stipend for our San Francisco based employees