# Senior Machine Learning Engineer

**Company**: Dow Jones
**Location**: NYC
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $125,000 - $155,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://dowjones.wd1.myworkdayjobs.com/en-US/Dow_Jones_Career/job/NYC---1211-Ave-of-the-Americas/Senior-Machine-Learning-Engineer_Job_Req_55214-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_563f09bf-df4

## Description

Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users.

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.

**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

**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

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

**Benefits:**

- Comprehensive Healthcare Plans

- Paid Time Off

- Retirement Plans

- Comprehensive Insurance Plans

- Lifestyle Programs & Wellness Resources

- Education Benefits

- Family Care Benefits & Caregiving Support

- Commuter Transit Program

- Subscription Discounts

- Employee Referral Program

- Financial Health Programs

- Cybersecurity Protection

## Skills

### Required
- Python
- LLM APIs
- cloud platforms
- LangChain/LangGraph
- prompt engineering
- AI evaluation

### Nice to have
- Claude Code

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Source: [Apply at dowjones.wd1.myworkdayjobs.com](https://dowjones.wd1.myworkdayjobs.com/en-US/Dow_Jones_Career/job/NYC---1211-Ave-of-the-Americas/Senior-Machine-Learning-Engineer_Job_Req_55214-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)