At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. 

Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. 

Empower your impact at Cision. Be seen, be understood, be you. 

We are seeking a highly skilled Senior AI/ML Engineer to build intelligent systems at the intersection of large-scale data, natural language processing, and real-time analytics. You will work with millions of news articles, social posts, broadcast transcripts, and other unstructured data sources to extract meaningful insights that power Cision's next-generation media intelligence products.

This role requires strong engineering fundamentals, hands-on ML experience, and a passion for translating cutting-edge research into scalable production systems.

What you'll do

  • Design, develop, and deploy end-to-end ML and AI-powered systems that drive product features across Cision's media intelligence portfolio
  • Work with large-scale datasets to perform exploratory data analysis, feature engineering, and model development.
  • Design and implement monitoring systems to track model health in production including data drift detection, performance degradation, latency, and failure alerting and contribute to defining remediation workflows.
  • Collaborate with data scientists and engineers to transform research prototypes into production-grade ML services.
  • Evaluate and improve model performance through experimentation, A/B testing, validation, and continuous monitoring.
  • Package and serve ML models as reliable, scalable APIs or microservices, and contribute to shared tooling and best practices within the ML team.
  • Participate in system design discussions related to ML services, data pipelines, and model deployment architecture.
  • Work cross-functionally with product managers and engineering teams to deliver ML-driven capabilities aligned with product needs.

What you'll bring

  • 3+ years of experience building and shipping machine learning or AI solutions in production environments.
  • Demonstrated track record of owning AI features end-to-end, from prototype to production to monitoring.
  • Strong foundation in machine learning theory and applied modeling techniques.
  • Proficiency in Python and common ML frameworks: PyTorch, TensorFlow, Scikit-learn.
  • Experience with data exploration, feature engineering, and model evaluation.
  • Strong software engineering fundamentals: API design, code modularity, testing (unit and integration), version control, and code review practices.
  • Experience building and maintaining production services, not just model training scripts.
  • Experience packaging and serving ML models via REST or gRPC APIs (FastAPI, TorchServe, or equivalent).
  • Familiarity with MLOps techniques including experiment tracking, packaging and deploying containerized ML systems, cloud deployment (AWS or GCP) and automated evaluation
  • Experience with model observability tooling to track drift, degradation, and latency (Prometheus/Grafana or equivalent).
  • Hands-on experience working with LLMs in production including prompt engineering, RAG architectures, and fine-tuning and building and evaluating agentic AI systems using tools such as LangGraph, PydanticAI, or Langfuse.
  • Strong communication skills and ability to collaborate with cross-functional teams including product managers, engineers, and data scientists.

Preferred Qualifications

  • Familiarity with evaluation frameworks for generative AI outputs (e.g., RAGAS, LangSmith, or custom eval pipelines).
  • Experience building content analysis, classification, or information extraction systems — particularly in media, news, or NLP-heavy domains.
  • Experience optimizing model inference performance and scalability (quantization, batching, hardware-aware serving).
  • Familiarity with orchestration and workflow tools (Airflow, Prefect, Kubeflow, or equivalent).
  • Some hands-on experience with AI coding agent tools (Cursor, GitHub Copilot, or similar) to accelerate development workflows.

What Your Day-to-Day Might Look Like

  • Building, scaling, and deploying ML, AI, and agentic systems that power product features.
  • Running structured evaluations and experiments to improve model accuracy, reliability, and performance.
  • Building and iterating on monitoring dashboards and alerting to catch model issues before they impact users.
  • Collaborating with engineers to deploy models and AI systems as scalable, observable services.
  • Contributing improvements to shared ML tooling, evaluation frameworks, and deployment workflows used across the AI organization.
  • Participating in design reviews and architecture discussions, contributing to how AI systems are built and deployed across Cision's products.

As a global leader in PR, marketing and social media management technology and intelligence, Cision helps brands and organizations to identify, connect and engage with customers and stakeholders to drive business results. PR Newswire, a network of over 1.1 billion influencers, in-depth monitoring, analytics and its Brandwatch and Falcon.io social media platforms headline a premier suite of solutions. Cision has offices in 24 countries throughout the Americas, EMEA and APAC. For more information about Cision's award-winning solutions, including its next-gen Cision Communications Cloud®, visit www.cision.com and follow @Cision on Twitter.

Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com.

Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses.

Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com

Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process. 

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