Director, Machine Learning



Software Engineering
Redwood City, CA, USA
Posted on Monday, February 26, 2024

What we want to accomplish and why we need you

Suki is creating a new category in the health-tech space: the digital assistant. Our product will be the voice user interface for healthcare. What does that mean? Currently, doctors use electronic health record systems to take notes on patient encounters. This is a digital version of the paper charts that you may have seen in your doctor’s office or on TV. These systems can be hard to navigate and time-consuming to manage. Doctors would rather spend that time with patients. We are creating the solution. Doctors that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctor. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What you will do every day

You will lead and mentor the Machine Learning team across geographies with a focus on the bay area. Your Partnership with the product, design and engineering teams will ensure the prioritization of our efforts. This role will set the tone for direct end-to-end workflows, all the way from data gathering to deployment of production-ready models for our ASR and NLP flows. You will lead on how to address computational infrastructure with your knowledge and prior experience in NLP / ASR techniques to make improvements to our current processes.

Ok, you're sold, but what are we looking for in the perfect candidate?

  • Proficiency: Enterprise-grade C++ expertise to convert models to working production-ready code
  • Subject Matter Expertise: Good handle and grasp of ML Ops pipelines.
  • Action-oriented: You love to build. You like to ship fast and quickly iterate.
  • Creativity: You enjoy listening to user feedback and then building products in novel ways.
  • Problem-solving: you use data to help point you in the correct direction. You optimize relentlessly. You think business and engineering problems are like puzzles and you stick with them until they are solved.
  • Humility: You’re humble and love working in a team without ego to deliver products
  • Adaptability: You thrive in a fast-moving organization that uses lightweight processes and cutting-edge technology to have a huge impact.


  • 7+ years of experience of Machine Learning experience, with at least three years focused on NLP and ASR.
  • Proven record of an end-to-end workflow of moving at least three models to an enterprise production system.
  • Prior experience in mentoring and leading a team of ML engineers is critical.
  • Expert in the understanding, practice, and deployment of deep neural network models.
  • Proven ability to build and maintain distributed backend services for ML/AI Applications
  • Experience taking product technical design from inception to production
  • A strong grasp of CS fundamentals, including algorithms, data structures, and design is preferred

We don’t expect every candidate to have done everything listed above, but you should be able to make a credible case that you meet most of the criteria and are ready for the challenge of adding new technologies to your résumé. Bay Area is preferred for this role, we run a hybrid remote work framework and would like you to be able to visit and/or work out of our office in Redwood City, California, when possible.

Tell me more about Suki

  • On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
  • Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
  • Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital , and others. With our $55M Series C financing, we have the resources to scale.
  • Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
  • Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties. Check out what one of our users says about how Suki has helped his practice.
  • Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better.

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

In compliance with the State of California Pay Transparency Law, the base salary range for this role is between $280,000 - $315,000 in CA. This range is not inclusive of any discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.