Staff ML Engineer (AI Product)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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
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)
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β