Develop and deploy machine learning models to detect web-based malware at scale.
Use production data to train and evaluate models for accurate threat detection.
Collaborate with security analysts to optimize detection and cleanup processes.
The company specializes in cybersecurity, using machine learning to detect web-based malware. It operates a remote-first culture with dedicated technical resources and a focus on collaboration and innovation.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Lead technical design and architecture for Medium's ML recommendation backend.
Build and scale feature store, recommender systems, and ML Ops.
Mentor engineers and drive cross-functional technical direction.
Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.
Own the full ML lifecycle for Misdirected Email detection, from data wrangling to deployment and monitoring.
Run rigorous experiments and A/B tests, set thresholds, and conduct error analysis to prevent regressions.
Partner with product and engineering stakeholders to align deliverables and ensure successful GA launches.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 5,000 enterprises trust our behavioral AI platform.