ML Engineer training diffusion models for Hapiko’s voice - activated Stickerbox, which turns kids’ spoken ideas into stickers. Bringing Spin Master characters into production safely and on - model.
About the role
- Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Responsibilities
- Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources
- Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest
- Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
- Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems
Requirements
- Have experience building and deploying ML systems in production environments
- Are comfortable working with large-scale datasets and distributed data processing frameworks
- Understand the trade-offs between research-quality models and production-ready systems
- Are excited about solving real-world problems where the adversary is constantly evolving
Benefits
- Free lunch and dinner in the office
- Flexible PTO
- Quarterly team offsites
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