Senior Machine Learning Engineer

Dow Jones & Company•New York City, NY

11d•Hybrid

About The Position

As Senior Machine Learning Engineer in the AI & ML foundations team, you will design and build the core systems behind our LLM applications: the orchestration layer, the reusable tooling and the evaluation harness that keeps it trustworthy in production. In this role, you will not be applying AI research or model training - but to real problems in production. You will report to the Director, Data Science & Insights.

Requirements

At least 2+ years’ experience in software/ML engineering - which includes at least 1 years’ experience building LLM systems in production
Expert Python, hands on with LLM APIs and cloud platforms (AWS, Snowflake, Vertex)
Deep experience orchestrating multistep LLM workflows as execution graphs (e.g. LangChain/LangGraph).
Experience building agent harnesses: memory compression, skill disclosure, and tool design
Strong prompt engineering: tuning, versioning, and evaluation of prompts and model configs
A proven track record in AI evaluation, observability, and retrieval over enterprise data
Ability to explain complex AI concepts and tradeoffs clearly to nontechnical stakeholders

Nice To Haves

Fluency with agentic coding tools (e.g. Claude Code) and their architecture patterns

Responsibilities

Design and build the orchestration, prompting, and workflow layers behind production AI features
Create composable tools and integrations, including retrieval and MCP servers and clients
Build evaluators, dashboards, and alerts that track accuracy, latency, cost, and hallucination
Harden the platform for production scale: caching, reliability, incidents, and model rollbacks
Set the technical bar through architecture decisions, design reviews, and mentoring