AI Scientist (Machine Learning)

Location: 100% remote within the United States

Salary: $100,000 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.
• Bridge applied AI research and production engineering across the full lifecycle, from problem framing and experimentation to deployment and continuous improvement.
• Train, fine-tune, and evaluate deep learning models at non-trivial scale.
• Build robust, scalable, and well-instrumented production pipelines with appropriate observability and safeguards.
• Evaluate current research techniques and adapt them for real-world applications.
• Communicate complex AI and machine learning methods clearly in written and verbal form.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field, or equivalent applied experience.
• 6+ years of combined research and applied machine learning engineering experience.
• Strong proficiency in Python and modern machine learning frameworks such as PyTorch or JAX.
• Strong foundation in mathematics, statistics, and the theoretical foundations of modern machine learning.
• Experience with distributed training, mixed-precision training, accelerator hardware, and taking research prototypes into production.
• 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 or machine learning 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 machine learning projects.

Culture & Benefits

• Full-time direct W-2 employment.
• Fully remote work within the United States.
• Established organization with opportunities for career growth.
• Equal employment opportunity and a workplace free from harassment and discrimination.