Machine Learning Engineer

Meltwater•Redwood City, CA

32d•Hybrid

About The Position

Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater's media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community. Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our underthehood blog to see which problems our engineers are solving. 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. 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. 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. 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. Our team is organized over 3 objectives : innovation, research and production. Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. Production : We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.

Requirements

2+ 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

Responsibilities

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.
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
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

Benefits

You will work with a team of passionate people who are always willing to help and learn from others
You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business
As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives.
At Meltwater, everyone has an opportunity to make a difference
Enjoy flexible 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 CalmApp 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.