Senior Data Scientist (AI)

Location: Remote within the United States; candidates must be eligible to work in the United States. hirify.global will not sponsor work visas.

Base compensation: $132,000–$198,000 per year, plus a 25% annual bonus target and RSUs.

Company

hirify.global is a blockchain-native capital marketplace focused on tokenized assets, real-world asset tokenization, credit markets, and financial technology.

What you will do

• Identify high-impact machine learning and AI opportunities with product, engineering, operations, and business stakeholders.
• Design, train, fine-tune, and evaluate models for document intelligence, language, vision, and multimodal applications.
• Build datasets, features, training pipelines, evaluation frameworks, and reusable AI components.
• Run GPU-based experiments and optimize model quality, speed, latency, reliability, and cost.
• Partner with ML and software engineers on deployment, monitoring, reproducibility, testing, and ongoing model improvement.
• Translate ambiguous business needs into measurable machine learning problems and communicate results, limitations, and tradeoffs.

Requirements

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, a related technical field, or equivalent practical experience.
• 5+ years of experience developing machine learning solutions, including taking models beyond initial experimentation.
• Strong programming and software-engineering skills, particularly in Python.
• Strong foundations in machine learning, statistics, algorithms, data structures, and experimental design.
• Hands-on experience with PyTorch or TensorFlow and with transformer-based, vision, or multimodal models.
• Experience working with GPUs and large, complex, imperfect datasets.
• Ability to own open-ended problems from investigation through implementation and measurement and generalize successful solutions into reusable capabilities.
• Strong communication and cross-functional collaboration skills.
• Adherence to company security policies and data handling procedures, completion of mandatory security training, and prompt reporting of suspected security incidents.

Nice to have

• Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
• Experience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning.
• Experience deploying and monitoring machine learning models in production.
• Familiarity with cloud infrastructure, distributed data processing, and modern ML development platforms.
• Experience building AI systems in regulated, risk-sensitive, or high-stakes environments.
• Contributions to applied research, open-source projects, patents, or production AI products.

Culture & Benefits

• Remote work for the United States-based role.
• Medical, dental, and vision coverage, with employer-paid premiums on select plans.
• HSA, FSA, dependent care FSA, 401(k), commuter benefits, life and disability insurance.
• 11 observed holidays, PTO, and up to 12 weeks of paid family leave.
• Continuing education reimbursement, annual bonus target, and company RSUs.

Hiring process

• Employment requires identity and eligibility verification in the United States and completion of the required employment eligibility verification form upon hire.