Senior Machine Learning System Engineer (Agentic Search)

Location: Remote role associated with Seattle, United States; hiring is available in countries where hirify.global has a legal entity.

Salary: $206,100–$269,075 annually in US Zone A; $185,490–$242,168 in Zone B; $171,063–$223,332 in Zone C. Additional benefits, bonuses, commissions, and equity may apply.

Company

hirify.global develops collaboration software that helps teams organize and complete different types of work.

What you will do

• Build systems that help AI agents discover information, reason over enterprise knowledge, and select capabilities for complex tasks.
• Design agentic search systems that plan, decompose, reformulate, and execute searches across multiple steps and data sources.
• Define APIs, contracts, result formats, citations, and search primitives for agent-facing enterprise search.
• Improve retrieval and relevance using embeddings, hybrid retrieval, learning-to-rank, LLM reranking, and query understanding.
• Develop procedural intelligence for tool discovery, tool ranking, and capability routing.
• Create offline and online evaluations for retrieval quality, agent behavior, grounding, tool selection, and end-to-end task success.

Requirements

• Deep experience in machine learning, information retrieval, recommendation, ranking, NLP, LLMs, or a related field.
• Experience building production-scale machine learning systems.
• Strong software engineering fundamentals and the ability to turn modeling ideas into reliable production systems.
• Experience designing experiments and evaluations for complex machine learning systems.
• Ability to reason from first principles about ambiguous problems and demonstrate meaningful technical or product impact.
• Strong technical communication and the ability to influence engineers and leaders across teams.

Nice to have

• Experience with agentic systems, multi-step reasoning, search agents, or LLM tool use.
• Experience with retrieval-augmented generation and context engineering.
• Experience with MCP, tool discovery, tool ranking, or capability routing.
• Experience with evidence aggregation, grounding, citations, or hallucination reduction.

Culture & Benefits

• Flexible remote, office, or hybrid work options, subject to local legal-entity availability.
• Health and wellbeing resources.
• Paid volunteer days and community support programs.
• Potential benefits, bonuses, commissions, and equity.
• Inclusive workplace with recruitment accommodations available when needed.