Machine Learning Scientist III (LLM)

Location: Seattle, Washington, United States

Salary: $137,500–$192,500 total cash annually, with potential pay up to $220,000 based on sustained performance. The listed Austin range is also $137,500–$192,500, with potential pay up to $220,000.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B services, and travel advertising.

What you will do

• Own machine learning projects from business problem definition through execution, launch, measurement, and iteration.
• Develop and improve systems that detect behaviors associated with trust, safety, and marketplace-health risks.
• Translate ambiguous marketplace challenges into scalable machine learning and statistical modeling solutions.
• Design experiments and analyses to evaluate model performance, business outcomes, and marketplace-health improvements.
• Monitor deployed models and recommend enhancements as marketplace behavior evolves.
• Communicate technical findings, recommendations, trade-offs, and progress to technical and non-technical stakeholders.

Requirements

• Experience developing, evaluating, and applying machine learning models to complex business or product problems.
• Experience designing, developing, and deploying solutions using large language models.
• Experience with Python, SQL, and common machine learning libraries and frameworks.
• Ability to translate ambiguous problems into measurable objectives, analytical approaches, and actionable recommendations.
• Experience collaborating with cross-functional stakeholders to deliver machine learning solutions from concept through production.
• Strong communication skills and the ability to work collaboratively and autonomously.

Nice to have

• Experience developing agentic applications or LLM-powered agents.
• Experience with trust and safety, fraud detection, risk modeling, anomaly detection, behavioral modeling, or marketplace optimization.
• Experience with large-scale, imperfect, or evolving datasets.
• Experience with model monitoring, experimentation, and production machine learning systems.

Culture & Benefits

• Medical, dental, and vision coverage.
• Paid time off and an Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts and IATAN membership.
• Inclusive and accessible recruiting experience with accommodation support.