Full-Time

Machine Learning Engineer

HEALTH[at]SCALE

HEALTH[at]SCALE

11-50 employees

ML precision delivery healthcare company

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

Junior, Mid

San Francisco, 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

Company Stage

Series A

Total Funding

$16M

Headquarters

San Jose, California

Founded

2015

Growth & Insights
Headcount

6 month growth

-9%

1 year growth

-9%

2 year growth

33%

Benefits

Competitive salary

Stock options

Health benefits

401k, generous time-off

Meals and snacks

Team outings

Parental leave