Sr. Applied AI/ML Scientist

About the Role

The role entails working with large volumes of real-time data, building and shipping LLM-powered features that can reason, retrieve, enrich, and act on news signals. You will be responsible for architecting and delivering production-ready agentic workflows, both ambient and interactive, that can monitor, summarize, and surface insights across NewsWhip's data continuously.

What You Will Do

• Architect and deliver production-ready agentic workflows for LLM-powered features
• Design and develop LLM-powered content enrichments that feed into customer reporting, alerts, and intelligence briefings
• Lead the technical direction for tool-augmented LLM systems, including MCP-compatible services and multi-step reasoning workflows
• Make architecture-level decisions on when to use retrieval, agents, fine-tuning, or classical NLP approaches
• Define structured prompting standards, output schemas, and reusable patterns for the wider engineering team
• Set the bar for evaluating LLM systems, including offline benchmarks, online experimentation, and human-in-the-loop review
• Own guardrails for safety, hallucination reduction, factual grounding, and output consistency in news and media intelligence
• Build observability into every LLM feature, including tracing, cost tracking, latency budgets, quality metrics, and drift monitoring
• Collaborate with cross-functional teams to integrate LLM-powered features into the product roadmap

What We Are Looking For

• 5+ years of experience in AI, ML, or a related field, with a focus on applied AI/ML
• Strong background in natural language processing, deep learning, and software development
• Experience with LLM systems, including architecture, development, and deployment
• Strong understanding of AI quality, evaluation, and observability
• Ability to work with large volumes of real-time data and build scalable solutions
• Excellent communication and collaboration skills, with experience working with cross-functional teams
• Strong problem-solving skills, with the ability to drive innovation and experimentation

Nice to Have

• Experience with NewsWhip's technology stack, including Java, Python, and cloud-based infrastructure
• Knowledge of media intelligence, news analysis, or related domains
• Familiarity with agile development methodologies and version control systems
• Experience with cloud-based machine learning platforms, such as AWS SageMaker or Google Cloud AI Platform

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a cutting-edge AI and ML team
• Collaborative and dynamic work environment
• Flexible working hours and remote work options
• Access to the latest tools and technologies
• Professional development and training opportunities
• Recognition and reward for outstanding performance

• Showcase your expertise in AI quality, evaluation, and observability by highlighting specific projects or experiences in your portfolio or resume.
• Be prepared to discuss your approach to building and deploying LLM-powered features, including your experience with agentic workflows and tool-augmented LLM systems.
• Demonstrate your understanding of the media intelligence domain and how AI and ML can be applied to drive innovation and experimentation.
• Highlight your ability to work with cross-functional teams and collaborate with stakeholders to integrate LLM-powered features into the product roadmap.
• Prepare to discuss your experience with cloud-based machine learning platforms and your ability to work with large volumes of real-time data.
• Be ready to provide examples of your problem-solving skills and your ability to drive innovation and experimentation in a fast-paced, remote environment.