
Senior Machine Learning Engineer
NEW YORK, NYFull-timeSeen 6 days agoSeen in employer's feed 6 days ago
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Job overview
Dow Jones is seeking a Senior Machine Learning Engineer for its AI & ML foundations team. The engineer will build core systems for production LLM applications, including orchestration, reusable tooling, and evaluation. The role focuses on applying AI to production problems rather than AI research or model training, and reports to the Director, Data Science & Insights.
Skills & qualifications
Skills
Qualifications
Full job description
Dow Jones & Co. Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, MarketWatch and Financial News. This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day. If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you. Dow Jones, Making Careers Newsworthy All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets. Dow Jones is 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, due to a disability, email us at [email protected]. Please put Reasonable Accommodation in the subject line. NYC - 1211 Ave of the Americas Full timeJob_Req_55214 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 *
How this job compares
Set against the 5,802 open Machine Learning Engineer jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- New York median$170–247K/yr382 salary ranges
- US median$43–70/hr82 hourly ranges
- Openings
- Olive Jobs lists 483 open Machine Learning Engineer jobs in New York and 5,802 across the US. 5% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Amazon40 open
- Capital One39 open
- PwC26 open
- Experience
- This posting asks for at least 2 years of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,680 postings).
- Education
- 2,408 of the 5,802 open Machine Learning Engineer jobs (42%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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