Machine learning • jersey city nj
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The average salary range is between $ 137,431 and $ 211,689 year , with the average salary hovering around $ 167,875 year .
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
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 click .
#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.
