Senior Machine Learning Engineer
Posted on 3/22/2024
Headspace

1,001-5,000 employees

Digital health platform
Company Overview
Headspace's mission is to improve the health and happiness of the world. The company is building a wellness app for users everywhere.
Data & Analytics
Consumer Software
Social Impact

Company Stage

Series C

Total Funding

$318.5M

Founded

2010

Headquarters

Santa Monica, California

Growth & Insights
Headcount

6 month growth

4%

1 year growth

0%

2 year growth

0%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Deep Learning
Requirements
  • MS or higher in Computer Science or a related field or equivalent experience
  • 3+ years of professional ML engineering experience
  • 2+ years of experience with Natural Language Processing (NLP) & Natural Language Understanding (NLU) systems
  • 2+ years of experience with fundamental AI/ML technologies such as supervised, unsupervised machine learning, deep learning and reinforcement learning
  • Strong experience in OO design and programming in Python
  • Experience with unit, integration, and end-to-end testing, version control
  • Proven track record of leading cross-team initiatives and driving ML initiatives end-to-end
  • Strong problem solving and communication skills and ability to influence across internal organizations
  • Strong experience leading design and implementation of robust and highly scalable services
Responsibilities
  • Drive impactful ML technology initiatives from inception to production
  • Lead the development of complex, multi-component, scalable AI models and applications
  • Align design and technical decisions across internal organizations
  • Provide technical leadership and be a role model for those pursuing technical career path in AI/ML engineering
  • Promote the development of high-quality code through engagement in code review and constructive feedback
  • Increase internal and external company visibility in the AI community through open source, talks/presentations, etc.