Own a Critical Risk Domain: Take full technical ownership of a core problem space, such as Scams or Account Takeover. You will design, build, and lead the strategy for all models in this domain.
Architect and Design Systems: Lead the system design and architecture for new, complex risk detection models. This includes everything from feature pipeline design to model selection (e.g., GNNs, LSTMs, LLMs) and high-performance serving.
Drive the Technical Roadmap: Work with Product, Ops, and other stakeholders to translate ambiguous business needs into a clear technical roadmap. You will be the primary technical voice defining the "how."
Mentor and Lead: Act as a technical leader and mentor for mid-level and junior engineers on the team. You will lead by example through code reviews, design docs, and coaching.
Apply Advanced ML: Apply modern methodologies (e.g., deep learning, NLP, Graph Neural Networks (GNNs), sequence modeling, and LLMs for NLP and conversational agents) to solve complex, crypto-native challenges.
Build Context-Aware Risk Systems: Architect the adaptive logic that decides which friction (a quiz, an LLM agent, a human review) to apply to which user, balancing security with user experience.

Requirements

5+ years of working experience in software engineering and/or AI/ML, with experience deploying AI/ML systems into production.
Proven track record of technical leadership, including designing and deploying large-scale ML systems from scratch.
A commitment to building an open financial system and a strong desire to protect users from fraud and scams. You embody our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Deep expertise in applied AI/ML techniques (e.g., Risk ML, deep learning, NLP, recommender systems, anomaly detection).
Expert-level coding skills (e.g., Python) and deep experience with AI/ML frameworks (TensorFlow, PyTorch). Experience in building backend systems with a focus on data processing or analytics is a plus.
Ability to work collaboratively on technical initiatives and contribute to impactful AI/ML solutions.
Strong communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondeep learningNLPGraph Neural NetworksLSTMsLLMsTensorFlowPyTorchanomaly detectionrecommender systems

Soft Skills

technical leadershipmentoringcommunicationcollaborationcuriositypositive energybuildingcoachingcode reviewsdesign documentation