AI Engineer - Machine Learning 3

Job Title:   AI Engineer - Machine Learning 3
Location:  Remote ( EST time preferred )
Salary Range:  $100/hr to $105/hr on W2 

Introduction

Join a dynamic team that supports research initiatives by rapidly applying, augmenting, and developing AI/ML capabilities across various projects. This role offers the opportunity to work directly with cutting-edge research, transforming breakthrough ideas into prototypes, experiments, and technologies that influence future products and experiences.

Required Skills & Qualifications

• Bachelor's degree in a technical field such as computer science, computer engineering, or related field.
• 5-7 years of experience in machine learning, applied AI development, data science, experimentation, and model evaluation.
• Strong technical foundations in software engineering, machine learning, statistics, and experimental design.
• Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.
• Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery.
• Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-powered products.
• Work directly with cutting-edge research and influence future product and experience development.
• Operate in a small, highly autonomous team where creativity, experimentation, and technical excellence are equally valued.
• Prior work experience at client or in client's industry.
• Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.
• Ability to thrive in ambiguous, rapidly changing environments where requirements evolve through experimentation and discovery.
• Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications.

Day-to-Day Responsibilities

• Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems.
• Design and execute quantitative and qualitative experiments that measure model performance, user engagement, research impact, and technology adoption.
• Develop evaluation frameworks, benchmarks, and success metrics for foundation models, generative AI systems, multimodal experiences, and agent-based workflows.

Company Benefits & Culture

• Work directly with cutting-edge research and influence future product and experience development.
• Operate in a small, highly autonomous team where creativity, experimentation, and technical excellence are equally valued.
• Contribute to publications and patents, collaborating with leading researchers across multiple AI domains.

For immediate consideration please click APPLY to begin the screening process with Alex.