Senior Machine Learning Engineer, Trust & Safety
Tasks
- Collaborate with product and engineering teams on user safety solutions
- Conduct model monitoring testing and risk mitigation
- Define performance metrics and evaluation protocols for safety fairness and risk
- Design and implement scalable data preprocessing and inference systems
- Develop deploy and maintain machine learning models for trust and safety
- Incorporate user feedback and ethical considerations into model refinement
- Research and apply new AI and machine learning techniques
Perks/Benefits
- 401k matching
- Date stipend
- Employee resource groups
- Fertility support
- Free Hinge premium
- Learning and development stipend
- Paid parental leave
- Udemy access
Skills/Tech-stack
AWS | Airflow | Argo | Azure | C++ | Content Moderation | Data Pipelines | Data Preprocessing | Data cleaning | Databricks | Deep learning | Distributed Computing | Evaluation | Feature Store | Fraud Detection | GCP | Java | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Serving | Model Training | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Ray | SQL | Spark | TensorFlow | Testing | Workflow Orchestration
Education
Regions
Countries
States
Cities
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