Machine Learning Engineer III

4 weeks ago

Redwood City, California, United States Suki Ai Full time

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, Vertex AI, Golang, Python, C++, PyTorch, JAX, Transformers, GPT, LLAMA, MoE, gRPC, Javascript.

What will you do everyday?

The Machine Learning team forms the core of Suki's product, driving innovation and excellence. You'll leverage your NLP expertise to enhance our computational infrastructure and improve processes and algorithms. Working directly on the platform powering our microservices, you'll collaborate with cross-functional teams to address NLP challenges and scale our platform for thousands of doctors. You'll manage and curate large datasets, ensuring data quality and relevance for training and evaluation. You'll monitor and analyze system performance metrics, identifying areas for optimization and implementing necessary improvements. By staying updated on NLP advancements, you'll incorporate innovations to maintain our competitive edge, reducing doctors' administrative burdens and significantly impacting their daily lives.

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

  • Expertise: You know how to code. You understand our tech stack and can be productive with it. In other words, you've done this before.
  • 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. You're resourceful and enjoy finding alternate paths to success.
  • 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 light-weight processes and cutting-edge technology to have a huge impact.
  • Confidence: You trust your abilities and you're ready to push yourself to the next level.

Requirements:*

  • 5+ years in overall Machine Learning experience, with at least three years focused on NLP
  • Proven record of an end to end workflow and with moving at least one NLP model to an enterprise production system
  • Expert in the understanding, practice, and deployment of state-of-the-art deep neural network models
  • Proven ability to build and maintain distributed backend services for ML/AI Applications
  • Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
  • You will be required to work onsite M-F.

*Requirements is such a strong word. We don't necessarily expect to find a candidate that has done everything we've listed, but you should be able to make a credible case that you've done most of it and are ready for the challenge of adding some new things to your resume.

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 $ $225000 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.

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