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Applied AI​/ML Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: AURORA
Full Time position
Listed on 2025-11-06
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Location: New York

New York, USA

Salary: $250,000 OTE ($200,000 Base + $50k Uncapped Performance-Base Bonus)

Stock:
Founding Stock Options package at our ground-floor valuation with >100x upside potential and room for growth.

About Aurora

Aurora is the premium lifestyle operating system for the world’s leading post-exit founders, athletes and creatives.

Our mobile app empowers ultra-high-performance individuals and their teams to master their relationships, exploration and longevity.

We operate across 5 lifestyle categories; travel, dining, experiences, luxury goods, and longevity.

To date, we have:

  • raised $4m in funding from Tier 1 investors and entrepreneurs, including the founder of Velocity Black, early investors in Supercell & Deliveroo, the founder of Cleo and the President of Vista Jet
  • achieved industry-leading engagement with our paying founding member cohort, with an extensive member waiting list wanting to get access
  • built a proactive, seamless product described as “magic” by our members

We are now expanding our team as we grow our membership base globally.

The Applied AI/ML Engineer

Our core team of 15 is searching for an exceptional applied AI engineer to join as one of Aurora’s founding technical hires.

You’ll work directly with our Co-Founders and product leadership to define and build Aurora’s next-generation agentic platform – intelligent systems that anticipate, curate, and execute on the needs of the world’s highest-performing individuals.

This is a chance to work with one of the world’s richest proprietary behavioral datasets and build a revolutionary consumer AI product.

This role reports directly to Aurora’s Co-Founder & CTO, with the opportunity to rapidly grow into a leadership position across Engineering and Product.

Our Principles
  • We seek truth
  • We are high-leverage
  • We are courageous
  • We care deeply
  • We believe impossible is an attitude
Why Aurora
  • High Leverage:
    Place a daily-use product in the hands of the world’s most ambitious and high-achieving individuals and organizations, empowering them to maximize their global impact
  • Cutting Edge AI:
    Gain hands-on experience working with a revolutionary AI system, redefining lifestyle management at the highest level
  • Generationally Defining:
    Play an essential role in building the Apple of premium lifestyle management – a >$100bn opportunity at the intersection of technology, luxury, and longevity
About The Founders
  • Jonah Lowenstein, previously backed by the investors & operators behind Facebook, Spotify and Venmo
  • Aurelius Zwick, UK Young Entrepreneur of the Year
  • Dmitry Ogurtsov, former Director of Engineering at Work bounce (conversational AI tool acquired by Zoom Info)

Aurora’s Chairman is Alex Macdonald, founder of premium digital concierge Velocity Black (acquired by Capital One for $300M).

We’ve raised $4M from tier-1 investors in this space, including Boost Capital Partners, Koro Capital, Insiders VC, Profluence VC, EQT Angel Fund, the Founder of Cleo, the Founder of Wander, the Founder of Velocity Black, and the President of Vista Jet US.

Requirements

Key Responsibilities
  • Design and ship applied AI systems that personalize recommendations, automate complex workflows, and power Aurora’s conversational experiences
  • Develop LLM-driven agents that integrate with our backend and internal tools to support real-world use cases in travel, dining, luxury, and wellness
  • Prototype, evaluate, and produce features involving retrieval-augmented generation (RAG), semantic search, and multi-agent orchestration
  • Collaborate closely with Product and Operations to deeply understand member and curator behavior, transforming that insight into intuitive AI experiences that feel “magical.”
  • Continuously refine prompt architectures, memory systems, and tool-use strategies for reliability, accuracy, and contextual depth
  • Lead technical experimentation around proactive recommendation systems, recommendation engines, personalization models, and reasoning loops
  • Contribute to backend architecture and data pipelines, ensuring scalable and reliable delivery of AI features
Who You Are
  • Deeply product-minded: you care deeply about the customer and think from first principles about how to make their experience seamless…
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