Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Incubating next-generation agentic AI platforms, designing, implementing, and iterating AI systems with customers with an accent on strong technical competence, deep ML knowledge, and strategic thinking. Focus on creating new solutions and defining new product categories with meaningful impact.

Location: Onsite in the United States, specifically in San Francisco, Seattle, Palo Alto, New York, or Bellevue.

Company

hirify.global AI Research is focused on incubating next-generation agentic AI platforms to create new solutions and define new categories of product.

What you will do

• Incubate next-generation agentic AI platforms.
• Design, implement, and iterate agentic AI systems with customers.
• Collaborate closely with research scientists, software engineers, product managers, and solution engineers.
• Innovate at the frontier of AI to create new solutions and define new product categories.

Requirements

• Exceptional engineering skills with deep ML knowledge and a proven implementation track record.
• Strong proficiency in Python; solid experience with C++ and/or Java.
• Strong software engineering fundamentals (data structures, algorithms, system design).
• Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning).
• Experience building production-quality AI agents or complex AI-driven applications.
• Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure).
• BS/MS degree in CS or a related field; PhD candidates must fulfill specific criteria related to top schools, competitive coding, startup founding, open-source contributions, or high-impact publications.

Nice to have

• Competitive coding winner (e.g., ACM-ICPC).
• Startup founder in agentic AI or LLM area (e.g., YC backed startup).
• First contributor to open-source projects with 2k+ stars.
• First author on high-impact papers (500+ citations).