About This Job

Cryptomate is hiring for Machine Learning Risk Engineer. Domain focus includes product delivery, analytics, and cross-functional execution. The team expects practical use of AI tooling in day-to-day execution (prompt tooling, evaluation workflows, copilots, and annotation quality checks where relevant).

Position Name

Machine Learning Risk Engineer

Role Responsibilities

• Deliver scoped work with clear handoff notes and predictable timelines.
• Collaborate with product, operations, and stakeholders to turn requirements into implementable tasks.
• Document decisions, assumptions, and known tradeoffs in a maintainable format.
• Use AI-assisted workflows to improve iteration speed while maintaining review quality.

Qualifications

Must-have

• Clear written communication and structured problem-solving skills.
• Ability to work independently and escalate blockers early.
• Demonstrated ownership of end-to-end deliverables in production environments.
• Comfort reading logs, debugging issues, and collaborating on reproducible technical workflows.
• Production-grade Python experience with PyTorch or TensorFlow, experiment tracking, and model evaluation pipelines.

Preferred

• Experience collaborating in distributed teams across multiple time zones.
• Exposure to experimentation, QA checklists, or release-readiness workflows.
• Hands-on experience with prompt design, evaluation loops, or AI quality review workflows.
• Familiarity with vector databases, retrieval pipelines, and model-serving infrastructure.

Compensation

USD 98000-140000 annually

What We Offer

• Flexible working model with documented collaboration norms.
• Learning budget and guided growth checkpoints.
• Team support for role-specific upskilling.