Software Engineer II, Machine Learning
Tasks
- Build train evaluate and improve production machine learning models
- Communicate technical findings trade offs and recommendations
- Contribute to feature engineering data preparation training pipelines and model monitoring
- Deploy models with software and ML infrastructure teams
- Design offline evaluations and online experiments
- Translate product problems into machine learning problems
- Write production quality code and participate in design and code reviews
Perks/Benefits
- 401k match
- Commuter subsidy
- Employee stock purchase plan
- Fitness membership subsidy
- Flexible vacation
- Free subscription to Tinder Gold
- Health, vision, dental coverage
- Mental health support
- Mentorship
- Paid concierge medical membership
- Paid parental leave
- Pet insurance
- Professional development stipend
- Sick days
- Udemy courses
- Volunteer time off
Skills/Tech-stack
Algorithms | Data Preparation | Data Structures | Experimentation | Feature Engineering | Go | Java | Kotlin | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Offline evaluation | Online Experimentation | Production Code | Python | Scala | Software Design | Training pipelines
Education
Regions
Countries
States
Cities
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