Staff Machine Learning Engineer

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice and decisioning solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. 

Our flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions.

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. 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 GPT, Llama, MoE, LangChain, LangGraph, GCP, Kubernetes, Vertex AI, Golang, Python, C++, PyTorch, vLLM, gRPC, Javascript.

What will you do everyday?

The Machine Learning team forms the core of Suki's product, driving innovation and predictive excellence. You'll leverage your NLP expertise to enhance our computational infrastructure and improve our technical approaches  and algorithms. Working directly on the platform powering our domain services, 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 and Generative AI 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 train models.  You understand which models work best, and use LLMs only when necessary. You watch out for recall, accuracy, and precision. In other words, you’ve done this before.
• Action oriented: You love to build. You like to ship fast, quickly iterate, and see amazement in users’ eyes.
• 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, and understand the impact you’re making on the business.
• 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.
• Communication: You are a clear communicator and demonstrated consensus-builder.

Requirements:*

• 5+ years in overall Machine Learning experience, with at least three years focused on NLP and Contextual Embeddings.
• 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.
• Experience in building and maintaining distributed backend services for ML/AI Applications
• Strong grasp of CS fundamentals including abstractions, algorithms, probability, data structures and system design is preferred

*We don’t necessarily expect to find a candidate that has done everything 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 new skills 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.
• 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 $225 - $250k 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.