Full-Time

Software Engineer

ML Engineering/ML Ops

Updated on 5/9/2024

HeartFlow

HeartFlow

501-1,000 employees

Non-invasive personalized cardiac imaging service

AI & Machine Learning
Data & Analytics

Entry

Remote in USA

Required Skills
Microsoft Azure
Python
Git
Data Structures & Algorithms
Docker
AWS
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • Strong foundation in software engineering principles and practices
  • Proficiency in at least one programming language (e.g., Python, C++)
  • Familiarity with machine learning concepts and frameworks (e.g., PyTorch, Scikit-learn)
  • Understanding of data structures, algorithms, and software design principles
  • Experience with version control systems, preferably Git
  • Basic knowledge of containerization and orchestration technologies (e.g., Docker)
  • Experience with cloud services (AWS, GCP, Azure) is a plus
  • Demonstrated ability to work on projects or coursework related to machine learning, data analysis, or data engineering
  • Strong problem-solving skills
  • Ability to work independently and collaboratively
  • Excellent communication and interpersonal skills
Responsibilities
  • Designing, building, and maintaining infrastructure and tools for ML development and deployment
  • Contributing to projects impacting products and services
  • Staying up-to-date with the latest trends in ML, AI, and cloud computing
  • Solving complex problems creatively

HeartFlow, Inc. stands out as an exemplary place to work due to its leading-edge application of deep learning and computational fluid dynamics in the development of non-invasive cardiac tests. This technology not only enhances clinical outcomes but also propels the medical field forward, showcasing the company's commitment to both innovation and the well-being of patients globally. Employees at HeartFlow are part of a team that is making significant advancements in healthcare, offering a sense of purpose and the opportunity to contribute to life-saving technology.

Company Stage

Series F

Total Funding

$1.2B

Headquarters

Mountain View, California

Founded

2010

Growth & Insights
Headcount

6 month growth

11%

1 year growth

15%

2 year growth

29%