Research Scientist – AI

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and ship advanced machine learning systems for high-impact business problems.
• Lead the full ML lifecycle from problem framing and experimentation through deployment and continuous improvement.
• Train, fine-tune, and evaluate deep learning models at non-trivial scale.
• Transition research prototypes into robust, scalable, and well-instrumented production pipelines.
• Evaluate current AI research and adapt promising techniques for real-world applications.
• Build observability and safeguards into deployed ML systems.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
• At least six years of combined research and applied ML engineering experience.
• Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
• Strong knowledge of mathematics, statistics, and the theoretical foundations of modern machine learning.
• Experience with distributed training, mixed-precision training, and accelerator hardware.
• Must be a U.S. Citizen, Green Card Holder, EAD Holder, or H-1B transfer candidate; new H-1B visa petitions cannot be sponsored.

Nice to have

• Published research at top-tier AI/ML venues.
• Experience with large language model training, fine-tuning, or evaluation.
• Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
• Exposure to responsible AI, model evaluation, and alignment practices.
• Experience contributing to open-source ML projects.

Culture & Benefits

• Full-time direct W-2 employment.
• Opportunity to work at an established technology consulting and software development organization.
• Career growth potential across cloud, AI, data, and enterprise solutions.
• Fully remote work within the United States.