Senior Data & Machine Learning Engineer – NYC PTQ

Senior Data & Machine Learning Engineer NYC (Hybrid) PTQ

$200k - $300k

Were looking for a Senior Data & Machine Learning Engineer who can independently own the matching stack end-to-end. Youll work directly with the engineering team to build the models the serving path and the platform underneath them.

This is a high-autonomy position. You wont be handed a roadmap of analyses to run. Youll look at the data identify what matters form your own hypotheses and design experiments to test them. The best candidate thinks like a scientist and builds like an engineer.

Responsibilities

• Retrieval ranking and re-ranking for ad-to-recipient matching.
• The embedding and vector-search infrastructure powering real-time ad selection inside publisher newsletters.
• Multi-objective optimization in a single ranking stack: CTR lift advertiser ROAS publisher revenue and subscriber relevance.
• The feature store and the serving path: offline training online inference and the parity between them. Pipeline health is your problem not someone elses.
• LLMs and foundation models applied to subscriber tagging content understanding and user modeling.

• Lead 0-to-1 initiatives from prototype to production including online learning and feedback-loop systems reliable ETL/ELT pipelines and the dbt/warehouse transformation layer
• Dashboards and automated scorecards giving the team and leadership real-time visibility into performance CTR lift tag coverage and other key metrics.
• Work closely with the CTO CEO and engineering team to set priorities and the order of work for scaling the recommendation system
• Grow into a leadership role with a path to building and running an ML team

Work Experience and Requirements

• 3 years of experience with recommendation ranking or ads systems
• 5 - 16 years of experience in production ML or data engineering

• Has owned multiple layers of a recommendation system end-to-end (retrieval ranking serving evaluation) not one component on a large team
• Recsys models for ads: ads ranking CTR or conversion prediction or ad matching
• Embeddings and real-time vector-search infrastructure (FAISS Milvus Pinecone pgvector or similar)
• Founder background or early-stage startup experience
• Based in the NYC area OR in a US time zone close to Eastern and can travel to NYC quarterly
• Built and maintained their own data pipelines and transformation layer in SQL and dbt (or similar)
• Previous experience building an ML team
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• Education
• Masters or Ph.D. in Computer Science / Machine Learning preferred (helpful but not required)