Senior ML Engineer — End-to-End Recommender (Hybrid NYC)

SIVAD Consulting; New York (NY); Hybrid; USD 200,000 - 300,000; Full time

Job summary

SIVAD Consulting seeks a Senior Data & Machine Learning Engineer in NYC with hybrid work arrangements. You will own the matching stack end-to-end, building models, the serving path, and the underlying platform. Independent, proactive, and scientifically minded, you’ll shape experiments and product impact.

The role emphasizes ownership across retrieval, ranking, embeddings, and real-time vector search, with strong data pipelines and a roadmap to lead an ML team in a high-autonomy environment.

Qualifications

• 3+ years of experience with recommendation, ranking, or ads systems.
• 5–16 years of experience in production ML or data engineering.

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.
• 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 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

Skills

Recommendation systems

Ads systems

ML engineering

Education

Master's or PhD in CS/ML

Tools

FAISS

Milvus

Pinecone

pgvector

Job description

SIVAD Consulting seeks a Senior Data & Machine Learning Engineer in NYC with hybrid work arrangements. You will own the matching stack end-to-end, building models, the serving path, and the underlying platform. Independent, proactive, and scientifically minded, you’ll shape experiments and product impact.

The role emphasizes ownership across retrieval, ranking, embeddings, and real-time vector search, with strong data pipelines and a roadmap to lead an ML team in a high-autonomy environment.