Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Innovating with Generative AI to create global impact by building AI-driven network management products with an accent on AI Agents, RAG, Knowledge Bases, and LLM fine-tuning. Focus on building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

Location: Seattle, Washington

Salary based on qualifications, experience and region up to USD 170000 plus benefits.

Company

hirify.global creates effortless networking experiences that enable all of us to advance by leveraging the powers of machine learning, artificial intelligence, analytics, and automation.

What you will do

• Set the technical vision and drive innovation across products and platforms by designing and launching strategic ML solutions.
• Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations.
• Architect and deliver high-performance, production-grade ML platforms and frameworks, enabling next-generation real-time ML and Generative AI systems.
• Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration.

Requirements

• Degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations.
• 5+ years of experience architecting and deploying end-to-end ML solutions in production environments.
• Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale.
• Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP.
• Demonstrated ability to solve highly complex and ambiguous problems, setting direction for others.

Nice to have

• MS or PhD in Computer Science, Machine Learning, or a related discipline.
• Experience with Graph ML and graph technologies such as GNNs or Graph RAG.
• Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue.
• Track record of mentoring engineers and influencing cross-team initiatives.

Culture & Benefits

• Committed to fostering an inclusive workplace that embraces differences.
• Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner.
• Push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation.