Senior Machine Learning Engineer

dowjones; New York (NY); Hybrid; USD 125,000 - 155,000; Full time

Benefits offered by this job

Healthcare Plans

Paid Time Off

Retirement Plans

Education Benefits

Commuter Transit Program

Subscription Discounts

Employee Referral Program

Job summary

Dow Jones is seeking a Senior Machine Learning Engineer to design and build core systems for our LLM applications within the AI & ML foundations team. You will shape orchestration, tooling, and evaluation harnesses for production-grade AI features, reporting to the Director, Data Science & Insights.

You will design the orchestration layer, build composable tools, and create evaluators and dashboards to monitor accuracy, latency, cost, and hallucinations.

Qualifications

• 2+ years’ experience in software/ML engineering, including 1+ years building LLM systems in production.
• Expert in Python, hands on with LLM APIs and cloud platforms (AWS, Snowflake, Vertex).
• Deep experience orchestrating multistep LLM workflows as execution graphs (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.
• 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 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.

Skills

Python

LLM systems

LLM APIs

Cloud platforms

LangChain

LangGraph

Agent harnesses

Prompt engineering

AI evaluation

Tools

AWS

Snowflake

Vertex

LangChain

LangGraph

Claude Code

Job description

About the Team:

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

You Have:

• 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)

Our 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

Learn more about us and our benefits.

#LI-Hybrid

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 [e-mail]. 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 - Technology

Job Category:

Software Product Engineering

Union Status:

Union role

Base 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.