Senior AI/ML Engineer
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-03-01
Listing for:
Meltwater
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Description
About the Role:
Design, build, and product ionize large-scale NLP and LLM systems that power information extraction, classification, ranking, clustering, topic discovery, recommendations, and content generation across GenAI Lens and Meltwater’s intelligence platform.
- Build and deploy NLP and LLM systems that analyze AI Answering engine outputs and public web content to produce measurable brand intelligence, powering extraction, classification, ranking, clustering, topic discovery, recommendations, and the generation of insights.
- Design LLM workflows end-to-end for AI visibility analytics and insights: prompt families, retrieval-augmented generation, guardrails, and evidence-grounded outputs.
- Create evaluation and monitoring frameworks for model quality (factuality, coverage, brand safety, consistency, bias, and stability across model providers), including human-in-the-loop review and red‑team style testing.
- Be accountable for the quality of the intelligence we produce by setting clear quality KPIs and building eval and monitoring systems for signal extraction, taxonomy and topic quality, ranking relevance, recommendation lift, and insight reliability in production.
- Drive cost and performance optimization across LLM and NLP pipelines by instrumenting unit economics (cost per query/report/insight), and running experiments to improve precision/recall, latency, and total inference spend (model selection, prompt and context optimization, caching, batching, retrieval efficiency).
- Partner closely with product and engineering to turn customer problems into measurable ML deliverables and ship production features quickly and safely.
- Own systems from prototype to production: data pipelines, training and inference, CI/CD for ML, observability, and incident response for model regressions at scale.
- 5+ years of experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.
- Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis.
- Strong proficiency in Python and working knowledge of Type Script. Ability to write clear, well‑structured code, with motivation to grow software engineering skills and contribute to production ML systems.
- Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems.
- You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.
- Demonstrated ability to initiate, plan, and drive projects from concept to delivery, ensuring timely execution and high‑quality outcomes.
- Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve.
- Excellent communication and collaboration skills, and the ability to work effectively in a fast‑paced, collaborative environment.
- MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field.
- Enjoy comprehensive paid time off that allows you to have an enhanced work‑life balance.
- Excellent medical, dental, and vision options.
- 401(k) matching, life insurance, commuter benefits, and parental leave plans.
- Complimentary Calm App subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
- Total compensation range for this position: $188,000-$250,000 USD per year.
Start Date :
April 1st, 2026
At Meltwater, we believe that when you have the right people in the right environment, great things happen.
Our best‑in‑class technology empowers our 27,000 customers around the world to make better business decisions through data.
But we can’t do that without our global team of developers, innovators, problem‑solvers, and high‑performers who embrace challenges and find new solutions for our customers.
Our award‑winning global culture…
Position Requirements
10+ Years
work experience
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