Software Engineer II, Machine Learning
Tasks
- Build train evaluate production machine learning models
- Communicate technical findings tradeoffs and recommendations
- Contribute to feature engineering and data preparation
- Contribute to training pipelines and model monitoring
- Deploy models with software and ML infrastructure partners
- Design offline evaluations and online experiments
- Translate product problems into machine learning problems
- Write production quality code and participate in design reviews
Perks/Benefits
- 401k employer match
- Commuter subsidy
- Concierge medical membership
- Dental insurance
- Fitness membership subsidy
- Flexible vacation
- Free Tinder Gold subscription
- Health insurance
- Matched charitable donations
- Mental health support
- Mentorship program
- Paid parental leave
- Pet insurance
- Professional development stipend
- Sick days
- Udemy courses
- Vision insurance
- Volunteer time off
Skills/Tech-stack
AWS | Airflow | CI/CD | Data Preparation | Experimentation | Feature Engineering | Flink | Go | Java | Kotlin | Kubernetes | MLOps | Model Monitoring | Model Serving | Model versioning | Observability | Orchestration | PyTorch | Python | Recommendation Systems | Scala | Spark | TensorFlow | Training pipelines
Education
Regions
Countries
States
Cities
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