Job description

The Future of Healthcare Needs You At Suki, we’re building technology that listens, understands, and gets out of the way — so clinicians can get back to being clinicians. Our flagship product, Suki Assistant , uses cutting-edge AI to automate clinical documentation in real time, reducing the time it takes to complete notes by 72%. But that’s just the beginning. We’re now powering the next wave of voice-enabled healthcare experiences across telehealth platforms, care delivery tools, and specialty EMRs — through Suki Platform , our proprietary AI infrastructure. Clinicians using Suki spend over 70% less time on admin. Our customers see a 9X ROI in year one. And we’re just getting started. Suki is reimagining the healthcare technology stack to make the lives of clinicians better. 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 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. Requirements:* 7+ years in overall software experience, with at least 2+ years focused on shipping AI or machine learning systems to production Demonstrated end-to-end ownership of delivering at least one AI system to enterprise production, spanning the full workflow from problem framing, data pipelines, and model or agent development, through system integration, deployment, evaluation, monitoring, and continuous iteration Strong working knowledge of LLMs, including prompting, orchestration, RAG, context and cost management Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evals, human feedback loops, regression testing, and benchmark design 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 Preferred - Agentic workflows, SDKs, tool calling; e.g. Google Agent SDK, Langgraph, Langfuse, Langsmith *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. 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 utilize a balance of LLMs and building custom models to get the optimized solution for accuracy, speed and cost. 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. What Makes Suki Unique A mission that matters: Suki is making healthcare technology invisible and assistive—so clinicians can focus fully on patient care. 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 . An AI product that delivers: Our AI is used by real clinicians at real health systems — and it works. A team that gets it: We’re former Googlers, Apple engineers, Stanford docs, and healthcare veterans. Backed by believers: We’ve raised $165M from top VCs like Venrock, First Round, Flare, and March Capital. On a roll: Named by Fast Company as the Next Big Thing in Tech. Best Leadership Team by Comparably . Technology Innovation Award by Frost & Sullivan. Massive market: We’re disrupting a $30B+ industry, and our momentum is real. More Than Just a Job You’ll join a team of mission-driven builders who care deeply about what we do and how we do it. We believe in showing up with empathy, iterating constantly, and always putting clinicians first.Suki is an Equal Opportunity Employer. We’re committed to building a team that reflects the diverse communities we serve — and to creating a culture of inclusion, belonging, and bold ambition. The Details 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.

Requirements

Must-haves

The Future of Healthcare Needs You
We’re now powering the next wave of voice-enabled healthcare experiences across telehealth platforms, care delivery tools, and specialty EMRs — through Suki Platform , our proprietary AI infrastructure.
What will you do everyday?
Requirements:*
7+ years in overall software experience, with at least 2+ years focused on shipping AI or machine learning systems to production
Strong working knowledge of LLMs, including prompting, orchestration, RAG, context and cost management
Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evals, human feedback loops, regression testing, and benchmark design
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
Ok, you're sold, but what are we looking for in the perfect candidate?
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.
What Makes Suki Unique
A mission that matters: Suki is making healthcare technology invisible and assistive—so clinicians can focus fully on patient care.
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 .
An AI product that delivers: Our AI is used by real clinicians at real health systems — and it works.
A team that gets it: We’re former Googlers, Apple engineers, Stanford docs, and healthcare veterans.
Backed by believers: We’ve raised $165M from top VCs like Venrock, First Round, Flare, and March Capital.

Nice-to-haves

Preferred - Agentic workflows, SDKs, tool calling; e.g. Google Agent SDK, Langgraph, Langfuse, Langsmith

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigcpkubernetesgolangpythonjavascriptmachine learningllmml

Platform: greenhouse
Effort: quick