Machine Learning Engineer (Detection)

• We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems

• 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

Benefits

• Health benefits: We’ve got your health covered, so you can focus on what matters.

• Flexible time off: Take the time you need, when you need it.

• Supporting Life’s Biggest Job: Because family matters most, we offer paid time off for parents to bond, rest, and adjust to life’s biggest change.

• Perks for Office Days: We make getting to the office (and staying nourished) easier.

• Cell stipend: We make staying in touch a little easier.

• Home office setup: We’ll take care of your home office, so you can take care of the work that matters.- Are excited about solving real-world problems where the adversary is constantly evolving

• Are comfortable working with large-scale datasets and distributed data processing frameworks

• Understand the trade-offs between research-quality models and production-ready systems

• Have experience building and deploying ML systems in production environments