Staff Machine Learning Engineer, Suki
$225-250k
Office located in Redwood City, CA
Ambient clinical intelligence for documentation, revenue cycle & reasoning
Open for applications
Ambient clinical intelligence for documentation, revenue cycle & reasoning
201-500 employees
Open for applications
$225-250k
Office located in Redwood City, CA
201-500 employees
Company mission
To help clinicians focus on what matters most: their patients.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- Our tech stack includes GPT, Llama, MoE, LangChain, LangGraph, GCP, Kubernetes, Vertex AI, Golang, Python, C++, PyTorch, vLLM, gRPC, Javascript
Our take
Medical practitioners spent a heap of time on administration, reducing the time they have to administer care or make clinical decisions. Suki aims to solve this problem by delivering an ambient clinical intelligence system that captures patient conversations and generates high-quality notes to assist with documentation, billing and decision-making.
Suki integrates with major EHR systems, transforming the conversations it records into information that is used to automatically populate forms and paperwork. This massively reduces time spent notetaking, empowering practitioners to increase the time spent with patients by around 12%. On top of this, Suki can also translate this information into structured, billable information - and leverage accredited data to assist with diagnosis and care pathway decisions.
This complete approach to reducing the administrative burden on healthcare practitioners has earned the company much praise and attention. It has raised considerable funding that it has used to expand its customer base through partnerships with health systems and medical groups, as well as investing in enhancing its offering through regular product updates and upgrades.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2024
$70m
SERIES D
Dec 2021
$55m
SERIES C
Total funding: $165m
Company benefits
- Full healthcare benefits, including medical, vision, and dental
- Unlimited vacation
- Team building activities
- Free lunch and snacks, so that there is ample fuel for thought
- A team of warm, humble, high-performance entrepreneurs
Company HQ
Staumbaugh Heller, Redwood City, CA
Leadership
Punit Singh Soni
(Founder & CEO)Punit worked for Google as their Lead Product Manager for Google+ Games and Mobile. They then went onto work for Motorola in Product Management before co-founding Suki.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 5 more jobs at Suki