Full-Time

Machine Learning Engineer

Posted on 4/23/2024

HEALTH[at]SCALE

HEALTH[at]SCALE

11-50 employees

Provides AI-driven personalized healthcare solutions

Data & Analytics
Social Impact
Cybersecurity
AI & Machine Learning
Financial Services
Consumer Goods

Mid

Oakland, CA, USA

Required Skills
Python
Data Science
Data Structures & Algorithms
Java
Requirements
  • 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
Responsibilities
  • 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 Technologies excels in delivering hyper-personalized healthcare solutions, leveraging proprietary AI and machine learning to enhance care delivery. The company stands out for its specialized focus on precision health benefits and proactive risk prediction, optimizing outcomes and cost-effectiveness for major healthcare payers. Their application of advanced technologies in real operational settings sets a benchmark in the healthcare industry for both innovation and practical impact.

Company Stage

Series A

Total Funding

$16M

Headquarters

San Jose, California

Founded

2015

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-6%

2 year growth

31%

Benefits

Competitive salary

Stock options

Health benefits

401k, generous time-off

Meals and snacks

Team outings

Parental leave