Full-Time
Machine Learning Engineer
Posted on 5/31/2024
![HEALTH[at]SCALE](https://storage.googleapis.com/simplify-imgs/companies/3ab36a7e-7c8d-4410-a167-7f6ab94baacb/logo.png){kind=logo}
HEALTH[at]SCALE
11-50 employees
Optimizes patient care using machine intelligence
Compensation Overview
$140k - $210kAnnually
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 specializes in healthcare technology that uses machine intelligence to enhance patient care. The company analyzes a vast amount of data to ensure patients receive appropriate treatments from the best providers at the right time. By utilizing predictive modeling, Health at Scale helps health plans understand how different patient characteristics can affect provider outcomes, allowing for better patient guidance and tailored healthcare networks. Unlike many competitors, Health at Scale focuses on precision care delivery by leveraging longitudinal data from over 120 million members, which enables accurate predictions and recommendations. The goal is to improve patient outcomes and reduce costs through smarter provider selection and network design.
Company Stage
Series A
Total Funding
$16M
Headquarters
San Jose, California
Founded
2015
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -2%
Simplify's Take
What believers are saying
- Partnerships with major organizations like Walmart and IT Business Today highlight Health at Scale's growing influence and market penetration.
- The company's technology has the potential to significantly improve patient outcomes and reduce healthcare costs, making it an attractive option for health plans and providers.
- Recognition by reputable sources like Forbes and Hospital Review underscores the company's leadership in healthcare machine learning.
What critics are saying
- The healthcare technology market is highly competitive, requiring continuous innovation to maintain a leading position.
- Reliance on extensive datasets means that any data breaches or inaccuracies could severely impact the company's credibility and effectiveness.
What makes HEALTH[at]SCALE unique
- Health at Scale leverages advanced machine intelligence to provide highly personalized and predictive healthcare solutions, setting it apart from traditional healthcare technology providers.
- The company's extensive dataset, covering over 120 million members and a decade of healthcare encounters, enables it to make highly accurate predictions and recommendations.
- Health at Scale's focus on precision care delivery and intelligent provider selection offers a unique value proposition in the healthcare market.
Benefits
Competitive salary
Stock options
Health benefits
401k, generous time-off
Meals and snacks
Team outings
Parental leave