Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing, building, and deploying machine learning solutions for intelligent financial automation with an accent on robust model development, cross-functional collaboration, and production monitoring. Focus on translating business requirements into scalable ML solutions, analyzing complex datasets for product innovation, and optimizing model performance in real-world fintech challenges.

Location: This role is available remotely within the United States or onsite in San Jose, CA or Draper, UT. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Salary: $161,900 - $194,200 USD (San Jose based role)

Company

hirify.global empowers businesses by replacing outdated financial processes with innovative tools, helping them make smarter decisions and gain control of operations.

What you will do

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain.
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions.
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation.
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy.
• Contribute to the development and improvement of AI workflows, agentic evaluation, and best practices.
• Mentor junior team members and share technical expertise to elevate team capabilities.

Requirements

• Proven experience building and deploying machine learning models in production environments.
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Previous experience with OCR extraction and NLP methodologies.
• Knowledge of AI agents and strong experience with LLMs.
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques.
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams.
• Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Culture & Benefits

• Become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions.
• Commitment to building a workplace that fosters inclusion and diverse perspectives.
• 100% paid employee health, dental, and vision plans (HMO, PPO, or HDHP options).
• HSA & FSA accounts, Life Insurance, Long & Short-term disability coverage, and Employee Assistance Program (EAP).
• 11+ Observed holidays, wellness days, and flexible time off.
• Employee Stock Purchase Program with employee discounts, Wellness & Fitness initiatives, and employee recognition and referral programs.