Machine Learning Engineer

Requirements

• Degree in Computer Science or related field
• 2+ years hands-on experience in building and running ML systems
• Production-level ML expertise
• Hands-on experience with LLMs in agentic environments
• Strong software engineering skills
• Statistical rigor

Nice to Haves

• Experience with adversarial ML or red-teaming ML systems
• Experience working on distributed systems
• Contributions to open-source security/privacy tools
• Knowledge of federated learning, differential privacy, or on-device inference
• Familiarity with graph-based anomaly detection or knowledge graphs
• Technical leadership experience
• Security mindset familiarity

What You'll Be Doing

• Design and deploy scalable ML systems using modern MLOps practices
• Architect agentic AI systems for autonomous threat detection
• Build tools for model development and transparency
• Optimize ML workflows for distributed environments
• Collaborate cross-functionally with other teams
• Advance the state of ML for anti-abuse and account security

Perks and Benefits

• Work that Matters: Impact millions of users globally
• A great Team: Collaborative and diverse environment
• Technology: Access to right hardware and software
• Learning & Development: Invest in your growth and career
• Employee Benefits: Strong health coverage, retirement options, and wellness support
• Stock Options: Ownership opportunity from day one
• In-Person Collaboration: Face-to-face collaboration with passionate team members
• Food: Daily lunch and snacks provided
• Transport: Covered public transport, bike allowances, or parking
• Flexible Working: Set your schedule for outcomes