Machine Learning Engineer (AI)

Location: New York City, New York, United States; onsite, in person Monday through Friday.

Salary: $140,000–$250,000 per year.

Company

hirify.global builds AI software for life sciences teams to create, refine, and review pharmaceutical marketing content against approved evidence and medical, legal, and regulatory requirements.

What you will do

• Design, develop, and optimize machine learning and generative AI systems for evaluating pharmaceutical marketing and promotional content.
• Build LLM applications using prompt engineering, retrieval-augmented generation, multi-agent orchestration, model experimentation, and fine-tuning.
• Develop ML pipelines for content classification, claim extraction, source attribution, evidence verification, and contextual compliance analysis.
• Design and deploy production infrastructure for model serving, retrieval, data processing, evaluation, testing, monitoring, and system integrations.
• Develop evaluation systems for factuality, groundedness, accuracy, reliability, and compliance-related performance.
• Collaborate with engineering, product, regulatory, and business teams to turn scientific, regulatory, and commercial requirements into production AI solutions.

Requirements

• Master’s degree, or foreign equivalent, in Computer Science or a related field.
• Academic or professional experience developing machine learning and deep learning models and applied AI/ML systems.
• Experience with natural language processing and large language model applications.
• Python and machine learning frameworks, including PyTorch or TensorFlow.
• Machine learning data pipeline development and processing.
• Model evaluation, experimentation, and performance benchmarking, including factuality, groundedness, or accuracy evaluation.
• Deployment of machine learning models and systems in production environments.
• Software debugging, testing, monitoring, and performance optimization.

Culture & Benefits

• Work directly with real customer workflows and proprietary life sciences data.
• Build features used by pharmaceutical and life sciences customers.
• Onsite work is required in New York, Monday through Friday.

Hiring process

• Email a resume to jobs@hirify.globalhealth.co and reference job code #FMLE.