Senior Data and Machine Learning Engineer (Adtech, Seed Stage)

A seed-stage company that predicts consumer preferences also runs a machine-learning ad network that places individually matched ads inside publishers’ email newsletters. It needs a senior engineer to take ownership of the full matching system, from models through serving to the data platform beneath them, with a future path toward building and leading an ML organization.

The work

Build candidate retrieval, ranking and reranking that pair ads with individual recipients

Operate the embedding generation and vector-lookup systems behind live ad selection

Balance click lift, advertiser return, publisher revenue and reader relevance inside one ranking stack

Maintain the feature store plus the route that serves predictions, keeping offline training and online inference consistent and pipelines healthy

Apply large language models and other foundation models for tagging subscribers, understanding content and modeling users

Lead zero-to-one projects that move prototypes live, covering online learning, feedback loops, ETL/ELT and the dbt warehouse layer

Create dashboards and scorecards that give leadership live insight into performance

What you bring

Roughly five or more years in production ML or data engineering, including at least three on recommendation, ranking or ads systems

A shipped recommendation or matching system that you owned across several layers, from retrieval to evaluation

Experience with embeddings and real-time vector search (FAISS, Milvus, Pinecone, pgvector or similar)

Self-built data pipelines in SQL and dbt

A scientist’s habit of forming hypotheses and testing them with experiments, plus an engineer’s habit of shipping

Hybrid in New York, NY. Candidates must be US citizens or permanent residents; no visa sponsorship.