Senior Machine Learning Engineer (AI/ML)

TL;DR

Senior Machine Learning Engineer (AI/ML): Building sophisticated models for risk management and fraud prevention on the hirify.global platform with an accent on applying deep learning, NLP, and graph neural networks. Focus on designing adaptive logic for user friction and ensuring the security of millions of users in a complex crypto environment.

Location: In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

Salary: $186,065—$225,000 USD. Total compensation also includes equity and bonus eligibility and benefits.

Company

hirify.global's mission is to increase economic freedom in the world by building the emerging onchain platform and the future global financial system.

What you will do

• Take full technical ownership of a core problem space, such as Scams or Account Takeover, designing and leading the strategy for all models in this domain.
• Lead the system design and architecture for new, complex risk detection models, from feature pipeline design to model selection and high-performance serving.
• Work with Product, Ops, and other stakeholders to translate ambiguous business needs into a clear technical roadmap.
• Act as a technical leader and mentor for mid-level and junior engineers on the team through code reviews, design docs, and coaching.
• Apply modern methodologies (e.g., deep learning, NLP, Graph Neural Networks (GNNs), sequence modeling, and LLMs) to solve complex, crypto-native challenges.
• Architect the adaptive logic that decides which friction 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.
• 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.
• Strong communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

Nice to have

• Master’s / Ph.D in Computer Science, AI/ML, Data Science, or a related field.
• Familiarity with modern data and AI/ML infrastructure (e.g., Feature Stores like Tecton, Model Serving like RayServe, Apache Airflow, Spark, Kafka).
• Experience with Graph Neural Networks (GNNs) or Sequential Models (like LSTMs).
• Experience with LLMs (NLP, fine-tuning, agentic systems) or Reinforcement Learning.
• Understanding of MLOps best practices, including monitoring and improving production models.

Culture & Benefits

• Medical Plan, Dental and Vision Plan with generous employee contributions.
• Health Savings Account with company contributions each pay period.
• Disability and Life Insurance and a 401(k) plan with company match.
• Wellness Stipend and Mobile/Internet Reimbursement.
• Generous Time off/Leave Policy.
• The option of getting paid in digital currency.