Senior Machine Learning Engineer

Zest for Tech; New York (NY); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Equity

Unlimited PTO

Learning & development allowance

Full healthcare

Job summary

Zest for Tech in New York City is seeking a Senior Machine Learning Engineer for a three-day-per-week, in-office role in Lower Manhattan, with compensation up to $250k. The team is scaling agentic systems and shipping production-grade AI capabilities for a rapidly growing startup backed by top-tier VCs.

You will own core AI platform capabilities across search, retrieval, and multi-agent architectures; build document processing pipelines; advance knowledge graphs; and lead AI initiatives from

Qualifications

• 7+ years building and deploying ML/AI systems in production.
• Experience with agentic systems and LLM applications.
• Hands-on experience with document processing pipelines and knowledge graphs.

Responsibilities

• Take ownership of core AI platform capabilities spanning search, retrieval, and multi-agent systems.
• Lead the design and development of multi-agent architectures and collaboration patterns.
• Build and scale document processing pipelines from ingestion to extraction.
• Enhance search and retrieval through ranking, query understanding, and QA.
• Grow knowledge graph capabilities that support reasoning and relationships.
• Lead high-impact AI initiatives from concept to production rollout.
• Write production-grade code and shape engineering best practices.

Skills

ML in production

Agentic systems

LLM applications

Orchestration frameworks

Document processing pipelines

Python/Go

Data-driven decisions

Distributed systems

Tools

Kubernetes

Knowledge graphs

Provenance graphs

Entity relationship modeling

Job description

Senior Machine Learning Engineer | NYC 3 day/week in their Lower Manhattan office | up to $250k

We\'re working with a Series B startup with strong product-market fit and backing from top-tier VCs. Having proven their product in the market, they\'re now focused on scaling. This role is an opportunity to shape how sophisticated agentic systems get designed, built, and shipped to production at a key inflection point for the company.

What you\'ll do

• Take ownership of core AI platform capabilities spanning search, retrieval, and multi-agent systems


• Lead the design and development of multi-agent architectures, defining new agent capabilities and collaboration patterns


• Build and scale document processing pipelines, from ingestion and parsing to chunking, indexing, and structured data extraction


• Enhance search and retrieval through improvements in ranking, query understanding, and question-answering


• Grow knowledge graph capabilities that support reasoning, retrieval, and entity relationships


• Lead high-impact AI initiatives from initial concept through experimentation and production rollout


• Build evaluation frameworks and experimentation practices to measure and improve system quality


• Write production-grade code and help shape engineering best practices across the team

What you\'ll bring

• 7+ years building and deploying ML/AI systems in production Solid expertise in agentic systems, LLM applications, and orchestration frameworks


• Deep hands-on experience with document processing pipelines: parsing, chunking, indexing, and structured extraction


• Experience designing scalable distributed systems, ideally with Kubernetes Familiarity with knowledge graphs, provenance graphs, and entity relationship modeling


• Background in search, ranking, NLP, recommendation systems, or large-scale ML infrastructure


• Strong engineering skills in Python, Go, or similar languages, with a production mindset


• Track record of leading complex, ambiguous projects to real business impact


• Analytical, product-minded approach grounded in data-driven decisions

What\'s on offer

• $170k to $250k base + equity Fully covered healthcare


• Unlimited PTO


• Annual learning and development allowance