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Staff ML Engineer (AI Product)

210Β 000 - 260Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
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

Staff ML Engineer (AI Product): Design, implement, and maintain sophisticated ML systems that drive product experiences with an accent on transaction enrichment, personalization, and scalable AI features. Focus on architecting evaluation frameworks, scaling metadata generation to billions of transactions, and developing novel user-facing predictive features using large-scale transaction data.

Hybrid: local to and 1-2x per week from offices in Silver Spring, NYC, SF, Miami, or Denver (US)

Salary: $210,000 - $260,000/year + bonus + benefits

Company

hirify.global empowers people with financial insights and services to save time and money through a suite of products including transaction management and personalization.

What you will do

  • Lead architecture and development of complex AI/ML features across the product suite, identifying challenges proactively.
  • Design and maintain robust evaluation frameworks for continuous ML/AI improvement.
  • Develop novel product experiences leveraging unique datasets at scale, guiding technical leadership.
  • Own end-to-end ML/AI feature development with cross-functional teams, providing rigorous oversight.
  • Provide technical mentorship to foster high-impact contributions.
  • Scale transaction metadata systems, implement AI-assisted features like category detection and personalization.

Requirements

  • 8+ years in ML engineering or data science at consumer tech scale
  • Hands-on experience integrating ML/AI into production, including evaluation tooling and user feedback.
  • Experience with prompt engineering and LLM-based systems.
  • Expert Python, SQL, ML frameworks; fundamental ML knowledge.
  • Ability to solve ambiguous problems, own scaled ML product launches.
  • Strong software engineering fundamentals applied at scale; technical leadership and communication.
  • Preference for US office locations (Silver Spring, NYC, SF, Miami, Denver) 1-2x/week

Nice to have

  • Typescript knowledge
  • Deep NLP experience

Culture & Benefits

  • Health, Dental & Vision Plans
  • 401k Matching
  • Unlimited PTO
  • Competitive Pay + bonus
  • Lunch, snacks, coffee, commuter benefits (in-office)

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†’