Staff Machine Learning Engineer (AI Engineering)

TL;DR

Staff Machine Learning Engineer (AI Engineering): Developing and deploying machine learning models and GenAI-powered applications for hirify.global’s Enterprise AI team with an accent on NLP, recommendation systems, and production environments. Focus on leveraging advanced machine learning technologies and LLMs to drive innovation and efficiency in customer support.

Location: Remote - US. This role is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Salary: $188,240 - $276,700 (depending on location).

Company

hirify.global is shaping the future of communications by delivering innovative solutions to businesses and empowering developers worldwide.

What you will do

• Develop and deploy AI/ML models leveraging NLP, recommendation systems, and GenAI-powered applications to production environments.
• Collaborate with product, program, analytics, and engineering teams to implement and refine machine learning models that drive business outcomes.
• Utilize a technical stack including Python, SQL, R, AWS, MySQL, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras.
• Integrate enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
• Apply knowledge of Large Language Models (LLMs) to develop innovative GenAI use cases and solutions.

Requirements

• 5+ years of applied ML engineering experience.
• Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments.
• Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
• Utilize a technical stack including Python, SQL, R, AWS, MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras.
• Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
• Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions.

Nice to have

• Familiarity with using LLMs, RAG, Agents, Model Fine-tuning, Few-shot prompting, and Prompt Engineering.
• Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc.
• Research background & experience writing papers for top-tier peer-reviewed conferences or journals.

Culture & Benefits

• Competitive pay and generous time off.
• Ample parental and wellness leave.
• Healthcare and a retirement savings program.

Hiring process

• Applications for this role are intended to be accepted until April 30th, 2026 but may change based on business needs.