Senior AI/ML Engineer, Meltwater
$188-250k
Media, social & consumer intelligence
Open for applications
Media, social & consumer intelligence
1001+ employees
Open for applications
$188-250k
1001+ employees
Company mission
To innovate, provide best-in-class service, and deliver sustainable growth through our technology and our people.
Role
Who you are
- 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 TypeScript. 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
What the job involves
- Design, build, and productionize 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
Application process
- Start Date : April 1st, 2026
Our take
Meltwater's software analyzes and provides insights on posts across all major social media platforms, blogs, and news sites, allowing companies to make more informed marketing and operational decisions.
Launched in Norway in 2001 and later moving its headquarters to San Francisco, Meltwater has become a leading player in the media monitoring industry. It is an industry that is expected to double in value as the volume of data grows, making it increasingly challenging to derive meaningful insights.
Over the past two decades, Meltwater's growth has been fueled by strategic acquisitions of complementary businesses, enhancing its technology stack. Since going public in early 2021, and with major clients like Google, Ogilvy, The Economist, and Santander, Meltwater is poised to expand its operations beyond the 150 countries it currently serves.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2023
$65m
GROWTH EQUITY VC
Mar 2019
$175m
GROWTH EQUITY VC
Total funding: $240m
Company HQ
Financial District, San Francisco, CA
Leadership
John Box
(CEO)A Meltwater veteran, they began as a Sales Manager in 2004. Climbed the ranks through roles as a Regional Managing Director, Global Sales Director, and EVP of Meltwater Social before becoming CEO in 2020.
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