Full-Time
Machine Learning Engineer
Posted on 4/23/2024
AI-driven personalized healthcare solutions
Junior, Mid
San Francisco, CA, USA
- BS, MS or PhD in Computer Science or related technical field
- 2+ years of experience with machine learning and data science in academia or industry
- Strong understanding of the foundational concepts of machine learning and artificial intelligence
- Strong proficiency in Python (preferred), Java or C/C++
- Experience in cloud computing, parallel/distributed computing and workflow management
- Excellent communication skills
- Design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use at scale
- Improve the accuracy, runtime, scalability and reliability of machine intelligence algorithms and software
- Develop and implement machine intelligence platform APIs for multiple use-cases
- Drive architecture of platform and application capabilities embedding machine intelligence
- Collaborate with machine learning scientists and data scientists to develop prototyped solutions and translate leading-edge ideas into production-ready systems
- Work with data engineers to ensure seamless interactions between data pipelines and machine learning pipelines in development and production environments
Health at Scale offers hyper-personalized healthcare solutions leveraging proprietary artificial intelligence and machine learning technologies to optimize care delivery for individuals, including precision health benefits, personalized provider navigation, proactive risk prediction, and fraud detection. These technologies are deployed at scale in real operational settings, driving better health outcomes and affordability for customers, including major payers.
Company Stage
Series A
Total Funding
$16M
Headquarters
San Jose, California
Founded
2015
6 month growth
↓ -3%1 year growth
↓ -6%2 year growth
↑ 38%Benefits
Competitive salary
Stock options
Health benefits
401k, generous time-off
Meals and snacks
Team outings
Parental leave