Senior Applied ML Engineer

WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the Role We are looking for a Senior Applied Machine Learning Engineer to build and own production ML systems for content understanding, moderation, and policy enforcement across AI-generated images and video. You will work on applied problems such as: 1. Recommendation systems 2. Content moderation including: NSFW detection, intellectual property and character recognition, policy violation detection, content classification, and other trust and safety use cases. 3. User behavior prediction / segmentation. This is an end-to-end ownership role. You will be responsible not only for developing models, but also for defining the problem, building datasets, designing evaluation frameworks, deploying models into production, and measuring their impact on product and business metrics. WHAT YOU WILL DO - Own applied ML projects end to end, from problem definition and data collection to production deployment and monitoring. - Build multimodal classification and detection systems for images, video, text, and metadata. - Develop solutions for NSFW detection, intellectual property and character recognition, content policy enforcement, and related trust and safety use cases. - Fine-tune and evaluate vision-language models, classifiers, embedding models, and other relevant architectures. - Build high-quality training and evaluation datasets using human labeling, synthetic data, hard-negative mining, and active learning. - Define evaluation frameworks that reflect real pr