AI Engineer - Machine Learning 3

Alpha Consulting Corp. is seeking an AI Engineer - Machine Learning 3 to join a dynamic team that supports research initiatives by rapidly applying and developing AI/ML capabilities. The role involves collaborating with research teams to transform cutting-edge ideas into prototypes and conducting experiments to evaluate model performance.

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

Requirements:

• 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
• Experience evaluating, debugging, and improving machine learning models, data pipelines, and AI-powered applications