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3 дня назад

Engineering Manager - Search Intelligence (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Australia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Engineering Manager - Search Intelligence (AI): Building and scaling conversational search capabilities, natural language query understanding APIs, memory systems, and attribute-aware semantic matching pipelines with an accent on technical excellence, AI/ML deployment, and high-throughput production systems. Focus on leading a multidisciplinary engineering, machine learning, and data science team, evaluating AI-powered features, and integrating semantic and traditional search at scale.

Location: Richmond, Melbourne VIC, Australia; hybrid and flexible working

Company

hirify.global develops property search, real estate, mortgage, and property data products, including realestate.com.au, realcommercial.com.au, Flatmates.com.au, PropTrack, and Mortgage Choice.

What you will do

  • Lead the AI Search Intelligence squad and deliver its roadmap and engineering outcomes.
  • Coach and develop a multidisciplinary team of 9 direct reports across full-stack engineering, machine learning, and data science.
  • Set technical direction and maintain standards for software quality, solution design, AI/ML deployment and evaluation, system health, and engineering compliance.
  • Drive conversational search features, memory systems, query understanding pipelines, and semantic search capabilities.
  • Partner with product leaders and adjacent engineering teams to shape the future integration of AI-powered semantic search and traditional search.
  • Make technical trade-offs involving scalability, reliability, and the operational cost of AI-powered features.

Requirements

  • Experience leading engineering teams of approximately 8–10 people across software, machine learning, and data disciplines.
  • Recent hands-on experience coaching engineers through pairing, code review, and clear engineering standards.
  • Ability to understand code across full-stack, machine learning, and data science environments.
  • Experience designing and operating AI-powered applications, including integrating LLMs into products, evaluation-driven development, experimentation, and continuous improvement.
  • Strong judgment in API design, cloud architecture, software engineering practices, and systems thinking.
  • Strong collaboration, influencing, ownership, prioritization, and team-building skills.

Culture & Benefits

  • Hybrid and flexible approach to working.
  • Flexible leave options, including birthday leave and the ability to purchase additional leave.
  • Flexible parental leave for primary and secondary carers.
  • Because We Care program with volunteering leave, community grants, matched payroll giving, and community fundraising.
  • Hackdays for developing and testing new ideas.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’