Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (Gen AI/ML): Developing platforms for Generative AI, including AI Agents, RAG, and Knowledge Bases with an accent on multi-agent systems and LLM fine-tuning. Focus on designing large distributed systems, optimizing big data workflows, and implementing real-time perception and learning for network intelligence.

Location: Hybrid in Seattle, WA. Applicants must have legal authorization to work in the United States.

Salary: $110,000–$160,000 USD

Company

hirify.global is a global leader in cloud-driven networking solutions trusted by over 50,000 customers worldwide.

What you will do

• Develop platforms for Generative AI, incorporating AI Agents, RAG, and Knowledge Bases.
• Implement data mining, anomaly detection, and LLM fine-tuning to power flagship products.
• Build intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
• Design and architect large distributed systems on cloud platforms such as AWS, Azure, or Google Cloud.
• Mentor and lead engineering team members through the entire software development lifecycle.

Requirements

• Degree in mathematics, computer science, or a related discipline.
• 4+ years of experience in Python and the complete software development lifecycle (design, coding, testing, deployment).
• Expertise in designing RESTful APIs with hands-on experience in FastAPI.
• Proficiency in Docker, Kubernetes, and modern CI/CD practices.
• 2+ years of experience leading the design and architecture of large distributed systems.
• Legal authorization to work in the United States.

Nice to have

• MS or PhD in Computer Science or equivalent specialized experience in ML.
• Experience with ML technologies such as PyTorch, Sagemaker, Triton, or TensorRT.
• Proficiency with NoSQL and document databases.
• Proven ability to handle big data and optimize system performance.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• Flexible work schedules and work-from-home opportunities where permitted.
• Paid time off, including open time off in eligible markets.
• Retirement savings programs and Employee Stock Purchase Program.
• Tuition reimbursement and employee assistance program.