[Remote] Founding Machine Learning Engineer (Ads & Signal Engineering)

Note: The job is a remote job and is open to candidates in USA. AdZeta 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. 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 Skills • 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 • 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 Overview • AdZeta helps companies identify and acquire the right customers based on LTV, not just how much they spend on their first purchase. It was founded in 2023, and is headquartered in New York, NY, US, with a workforce of 11-50 employees. Its website is Apply tot his job