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