Full-Time
ML / AI Engineer
Quality & Risk
Confirmed live in the last 24 hours
AI-driven healthcare automation platform
Mid
San Mateo, CA, USA
- 3+ years of experience working in a relevant role
- Demonstrated ability to translate business requirements and metrics into machine learning model specifications
- Quickly prototype new models from open-sourced code and demonstrate results
- Ability to design and train new model architectures for complex data
- Experience working with real-world data: large, messy, incomplete, irregular, etc.
- Experience working with a mix of structured and unstructured data
- Proficiency with Python and the standard ML stack (numpy, pandas, scikit-learn)
- Experience with a deep learning package, e.g. Tensorflow, PyTorch
- Experience deploying ML models in production
- Work with the product development team and product managers to define scope of work, timeline and product specifications
- Work with backend engineers to deploy, maintain and scale AI models
- Define interfaces between the microservices that runs and delivers AI models
- Discover, collect, clean and transfer data to train AI models
- Experimentation of different AI models, methodologies, frameworks and communicate critical evaluation metrics to product teams
- Explore, refine, improve best practices within the ML team
- Push the boundaries of ML and AI and innovate on how to best leverage existing technologies to solve new problems
As a leader in healthcare automation, this company specializes in using intelligent automation and AI to enhance administrative and patient-facing workflows. The deployment of such automated solutions in processes like registration, scheduling, and patient management not only increases efficiency but also significantly elevates the patient experience through personalized, digital self-service options. This focus on improving healthcare delivery with cutting-edge technology makes it a compelling environment for professionals passionate about technology and healthcare innovations.
Company Stage
Series B
Total Funding
$126.5M
Headquarters
San Mateo, California
Founded
2017