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. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.
About the Role: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.
You Will: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
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)
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
Learn more about us and our benefits click here.
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Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Business Area:
Dow Jones - TechnologyJob Category:
Software Product EngineeringUnion Status:
Union roleBase Pay Range: $125,000 - $155,000
We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Skills Required
- At least 2 years of software or machine learning engineering experience, including at least 1 year building LLM systems in production
- Expert-level Python proficiency
- Hands-on experience with LLM APIs and cloud platforms, including AWS, Snowflake, or Vertex
- Deep experience orchestrating multistep LLM workflows as execution graphs, such as LangChain or LangGraph
- Experience building agent harnesses, including memory compression, skill disclosure, and tool design
- Strong prompt engineering skills, including prompt tuning, versioning, and evaluation of prompts and model configurations
- 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 such as Claude Code and related architecture patterns
What We Do
When you join Dow Jones, you become part of the most dynamic, creative and savvy news and information companies in the world. As a global leader in news and business intelligence, we're newswires, websites, newspapers, apps, newsletters, databases, magazines, and video --including some of the widest-read and most-respected brands, like The Wall Street Journal, Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Our products inform the discussions and decisions that are vital to the world's commerce, while our databases make the business world more transparent. We continually develop technology to transform information into insight and prosperity. We enlighten and inspire audiences around the globe with authoritative, differentiated and trusted content.
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