AdZeta · 9 hours ago
Founding Machine Learning Engineer (Ads & Signal Engineering)
United States
Full-time
Remote
Mid, Senior Level
$70K/yr - $100K/yr
5+ years expAdZeta is building the signal engineering and activation layer for modern growth teams. They are seeking a Founding Machine Learning Engineer to design and ship user-level pLTV systems and the signal pipeline that turns events and transactions into deployable features with near-real-time scoring.
Computer Software
No H1B
Responsibilities
Design & ship LTV/pLTV systems end-to-end: data ingestion → feature engineering → model training → evaluation → deployment → monitoring
Build models for adtech realities: handle delayed conversions, sparse signals, attribution changes; ensure calibration, drift detection, and retraining cadence
Own the signal pipeline: convert raw events/transactions into activation-ready features for near‑real‑time scoring; define value tiers/deciles, conversion value mappings, high‑value audiences, and bidding signals
Orchestrate activation flows: reliably move data warehouse → models → ad platforms (Meta CAPI, Google Enhanced/Offline Conversions) within platform constraints
Implement MLOps: reproducible training, CI/CD for models, logging, data‑quality checks, drift/performance alerting, and production observability
Translate business outcomes into model objectives: profit, payback, repeat rate → measurable objectives and activation strategies; partner with Product/GTM
Codify the Signal Engineering playbook: modeling standards, calibration guidelines, drift handling, retraining cadence
Optimize performance: streamline pipelines, near‑real‑time scoring paths, and integrations; iterate quickly based on real customer feedback
Qualification
Required
5+ years Data Science experience with direct AdTech/MarTech overlap, including hands‑on work with: analytics tagging, website analytics, server‑side integrations, CAPI / Conversions API and technical marketing data flows
Proven 0 to 1 product builder with a strong ownership mindset, have built systems/models/data products from scratch
Strong ML foundations + applied instincts, able to reason from business objective > data limitations > modeling approach > deployment path
Hands‑on production ML experience, including: training pipelines, deployment to production and monitoring + observability
Experience with LTV modeling, including: probabilistic/BTYD‑style thinking, survival/retention modeling, regression/classification for value prediction and calibration + drift handling
Excellent Python + SQL, comfortable working in modern data stacks and cloud environments
Preferred
Advanced AdTech/MarTech experience, including: Meta CAPI, Google Ads Enhanced Conversions / Offline Conversions, audience/CRM activation and conversion quality + incrementality intuition
Identity / data joining experience, such as: hashed PII, multi‑key matching, deduping and event stitching
Experience with streaming / near‑real‑time systems and event pipelines
Familiarity with experimentation + measurement frameworks, including: uplift / incrementality testing, MMM and attribution‑constraint environments
Benefits
Equity: Meaningful early‑stage equity; major portion of compensation delivered in ownership
Remote Flexibility: Fully remote role; NYC or SF preferred
Company
AdZeta
AdZeta helps companies identify and acquire the right customers based on LTV, not just how much they spend on their first purchase.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase