Machine Learning Engineer, Meltwater
$150-200k
Media, social & consumer intelligence
Posted today
Media, social & consumer intelligence
1001+ employees
Posted today
$150-200k
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
- We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI
- This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale
- You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning
- 2 - 5 years 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
- 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
- Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
- Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
- You are a team-player, self-learner and autonomous
- MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field
What the job involves
- Meltwater’s Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers
- As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact
- Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team
- Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
- Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
- Design, run, and iterate on machine learning experiments to improve model quality and product impact
- Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems
- Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement
- Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems
- You’ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities
- Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
- Experience building industry-scale user-facing ML/AI/Agentic applications
- Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
- Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, …) is a plus
Application process
- When you'll join: May/June 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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