TL;DR

Lead Machine Learning Engineer (AI): Lead the development and deployment of ML initiatives powering conversational AI and support chatbots across multiple products with an accent on generative AI, LLMs, and real-time inference. Focus on designing scalable ML systems, driving R&D, and collaborating cross-functionally to advance intelligent support experiences.

Location: Remote within the United States

Salary: $276,800–$415,200 USD

Company

%hirify_global% is a diversified technology company focused on economic empowerment through multiple business units including Cash App, Square, and others, building innovative financial and commerce solutions.

What you will do

Lead end-to-end delivery of multiple ML projects from planning to long-term maintenance.
Partner with cross-functional leaders to define and drive ML roadmaps informed by domain expertise and industry trends.
Guide team direction by identifying new ML/AI opportunities and advising leadership on strategic tradeoffs.
Drive R&D on next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference.
Design, deploy, and maintain ML models powering conversational agents and support chatbots.
Develop ML-powered tools and real-time recommendation systems to enhance support agent effectiveness and customer outcomes.

Requirements

Must have 10+ years of experience in machine learning, applied AI, or product ML roles.
Demonstrated leadership and ability to influence cross-functional teams.
Proven track record of delivering organizational-wide impact and shipping end-to-end ML features.
Experience with language models, dialog systems, or generative AI in production.
Strong foundation in NLP, deep learning, and ML infrastructure best practices.
Excellent communication skills to represent team work to leadership and stakeholders.

Nice to have

Experience with Python, PyTorch, TensorFlow, or JAX.

Culture & Benefits

Remote work within the United States with flexible time off and medical insurance.
Retirement savings plans and modern family planning benefits.
Inclusive and fair hiring process with accommodations for disabled applicants.
Commitment to diversity, equity, and inclusion in the workplace.