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About the Role
As a Senior Machine Learning Engineer in the AI & ML foundations team, you will design and build the core systems behind LLM applications, including the orchestration layer, reusable tooling, and evaluation harness for production trustworthiness. This role focuses on applying AI to real-world production problems, not AI research or model training.
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, including at least 1 year building LLM systems in production
- Expert Python proficiency
- Hands-on experience 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 skills: 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 their architecture patterns (a strong plus)
Skills
- Python
- LLM APIs
- Cloud platforms (AWS, Snowflake, Vertex)
- LangChain/LangGraph
- Agent harnesses
- Prompt engineering
- AI evaluation
- Observability
- Retrieval over enterprise data
- Agentic coding tools
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
- 2+ years in software/ML engineering
- 1+ year building LLM systems in production
Salary/Compensations
- $125,000 - $155,000
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
About the Company
- Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions.
- We focus on delivering cutting-edge solutions and shaping the digital landscape for our customers, readers and users.
- We are committed to providing a seamless and immersive experience across all touchpoints.
- We collaborate closely with our newsrooms and strategic partners to spearhead the development of groundbreaking products and technologies.
- Business Area: Dow Jones - Technology
- Job Category: Software Product Engineering
Equal Opportunity
- 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
- We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process.