Negotiation Guide

ML/AI Engineer — Boku Salary Negotiation Guide

Negotiation DNA: This guide decodes Boku's Wallet-First transformation, translating the 3.3B+ wallet connectivity and 50% e-commerce spend milestone into an ML/AI Engineer compensation framework spanning London, San Francisco, and Mumbai markets.


Compensation Benchmarks (2025-2026)

Region Base Salary RSU (4yr) Total Comp
London (GBP) £75,000-£115,000 £30,000-£70,000 £105,000-£185,000
San Francisco (USD) $160,000-$230,000 $65,000-$150,000 $225,000-$380,000
Mumbai (INR) ₹22,00,000-₹42,00,000 ₹8,00,000-₹20,00,000 ₹30,00,000-₹62,00,000

Negotiation DNA: The ML/AI Engineer at Boku builds the intelligent systems that optimize, protect, and scale the world's largest direct mobile wallet payments platform. Listed on LSE AIM (BOKU), Boku connects 3.3 billion+ wallets to Apple, Netflix, Spotify, Sony, and Microsoft. The ML/AI Engineer's domain spans transaction routing optimization, fraud detection, wallet authorization prediction, anomaly detection, and identity verification — all powered by one of the most unique transaction datasets in global payments. With wallets representing 50% of global e-commerce spend, ML/AI capabilities are the differentiator that transforms Boku from a connectivity middleware into an intelligent payments orchestration platform. This is applied ML with direct revenue and reliability impact at financial-grade stakes.


Level Mapping & Internal Benchmarking

Boku Adyen Checkout.com Worldpay Stripe
ML/AI Engineer ML Engineer ML Engineer ML Engineer ML Engineer
ML/AI Engineer (Senior scope) Senior ML Engineer Senior ML Engineer Senior ML Engineer Senior ML Engineer

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Boku's ML/AI function is nascent and high-leverage — each ML engineer has the opportunity to build foundational models that become the core intelligence layer of the platform. At Adyen, the ML team is 20-40 engineers with specialized sub-teams for fraud, routing, and analytics. At Boku, a single ML/AI engineer may build the first production routing model, the first fraud detection system, and the first wallet success rate predictor — foundational work with outsized career and compensation implications.


👛 Boku Wallet-First & Scale-Reliability Lever

Boku's 3.3 billion+ wallet connections generate a transaction dataset uniquely suited to ML/AI: billions of transactions across dozens of wallet providers, 70+ countries, multiple currencies, and diverse merchant verticals. With wallets at 50% of global e-commerce spend, the data volume and variety are accelerating.

For an ML/AI Engineer, the Scale-Reliability mandate translates into models that directly affect platform reliability and merchant outcomes. A routing optimization model that improves wallet authorization rates by 1% across Boku's network translates to millions of additional successful transactions for Apple, Netflix, and Microsoft. A fraud detection model that catches wallet account takeover attacks before they cascade protects both consumers and Boku's Tier-1 merchant relationships.

The wallet-first transformation creates unique ML/AI leverage: wallet payments introduce new ML problem domains that don't exist in traditional card payments — wallet provider reliability prediction, cross-wallet routing optimization, wallet-specific fraud patterns (SIM swap, social engineering, account takeover), and wallet user identity verification. You are building ML models for problem domains that are largely unsolved in the industry, giving your work both commercial value and intellectual novelty. This greenfield ML opportunity on a unique global dataset is your primary negotiation lever.


Global Levers

Lever 1: Greenfield ML on a Unique Global Dataset

"Boku has one of the most unique transaction datasets in payments — 3.3B+ wallet connections across 70+ countries — and the ML/AI function is still in its early stages. I'll be building foundational models that become the intelligence layer of the platform. This greenfield opportunity on irreplaceable data warrants a base of £110,000 in London."

Lever 2: Direct Revenue Impact per Model

"A 1% improvement in wallet authorization rates across Boku's network translates to millions of additional successful transactions for Apple, Netflix, and Microsoft. Every model I build has direct, measurable revenue impact. I'd like RSUs at £65,000 over four years — my models' revenue impact will far exceed this equity value."

Lever 3: Novel Problem Domains

"Wallet payments introduce ML problem domains that don't exist in traditional card payments — wallet provider reliability prediction, cross-wallet routing optimization, wallet-specific fraud vectors. I'll be publishing novel approaches to unsolved problems. Total comp of £175,000+ in London reflects both the commercial and intellectual value of this work."

Lever 4: ML Talent Market Premium

"ML/AI engineers with payments domain expertise command premiums across Adyen, Stripe, Checkout.com, and every fintech scaling intelligent payments. My accept-at floor needs to be competitive with these alternatives, or I'll pursue offers from companies with deeper ML teams and larger datasets. A signing bonus of £8,000-£12,000 signals Boku's seriousness about ML investment."


Negotiate Up Strategy: Open at £115,000 base / £70,000 RSU (London) or $230,000 / $150,000 RSU (San Francisco). Anchor on the greenfield ML opportunity, unique global dataset, and direct revenue impact per model. Your accept-at floor should be £82,000 base / £35,000 RSU (London) or $168,000 / $75,000 RSU (San Francisco). Push for a signing bonus of £8,000-£12,000, a research/conference budget of £5,000-£8,000 annually, and GPU/compute budget guarantees. Request accelerated Year-1 vesting at 30%. In Mumbai, open at ₹42,00,000 base / ₹20,00,000 RSU and accept no lower than ₹25,00,000 / ₹10,00,000 RSU.


Evidence & Sources

  • Boku Inc. Annual Report 2025 — LSE AIM: BOKU (boku.com/investors)
  • Boku Wallet Network Data — 3.3B+ Global Wallet Connections (boku.com)
  • Worldpay Global Payments Report 2025 — Wallets at 50% of E-Commerce Spend
  • Glassdoor Boku Salary Data — ML/AI Engineer Band — London, San Francisco — 2025-2026
  • Levels.fyi Payment Infrastructure ML Engineering Compensation — 2025-2026
  • Adyen, Checkout.com, Stripe ML Engineer Compensation Comparables — 2025-2026
  • Boku Identity Verification & Fraud Prevention Product Portfolio (boku.com)

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