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

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the signal engineering and activation layer for modern reputed company 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-reputed company-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, reputed company detection, and retraining reputed company • Own the signal pipeline: convert raw events/transactions into activation-reputed company features for near‑reputed company‑time scoring; define value tiers/deciles, conversion value mappings, high‑value audiences, and bidding signals • Orchestrate activation flows: reliably reputed company data warehouse → models → ad platforms (reputed company CAPI, reputed company reputed company/Offline Conversions) reputed company platform constraints • Implement MLOps: reproducible training, CI/CD for models, logging, data‑reputed company checks, reputed company/performance alerting, and production observability • Translate business reputed company into model objectives: profit, payback, repeat reputed company → measurable objectives and activation strategies; partner with Product/GTM • Codify the Signal Engineering reputed company: modeling standards, calibration guidelines, reputed company handling, retraining reputed company • Optimize performance: streamline pipelines, near‑reputed company‑time scoring paths, and integrations; iterate quickly based on reputed company customer feedback Skills • 5+ years Data Science experience with reputed company AdTech/MarTech overlap, including hands‑on work with: analytics tagging, website analytics, server‑reputed company integrations, CAPI / Conversions API and technical marketing data flows • Proven 0 to 1 product builder with a strong ownership reputed company, have reputed company systems/models/data products from scratch • Strong ML foundations + reputed company instincts, reputed company to reason from business objective > data limitations > modeling approach > deployment reputed company • 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 reputed company and calibration + reputed company handling • Excellent Python + SQL, comfortable working in modern data stacks and reputed company environments • Advanced AdTech/MarTech experience, including: reputed company CAPI, reputed company Ads reputed company Conversions / Offline Conversions, audience/CRM activation and conversion reputed company + incrementality intuition • Identity / data joining experience, such as: hashed PII, multi‑key matching, deduping and event stitching • Experience with streaming / near‑reputed company‑time systems and event pipelines • Familiarity with experimentation + measurement frameworks, including: reputed company / 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 reputed company • reputed company helps companies identify and reputed company 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 reputed company, NY, US, with a workforce of 11-50 employees. Its website is https://reputed company.io. Apply tot his job Apply To this Job