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Influur is redefining how advertising works — through creators, data, and AI. Our mission is to make influencer marketing as measurable, predictable, and scalable as paid ads — and we're building the tech that powers it. Backed by top-tier investors and trusted by global brands, we're scaling fast across music and culture. We’re currently developing a next-gen platform that connects artists, brands, and creators through AI-powered matchmaking, campaign automation, and generative tools. If you're a Machine Learning Engineer passionate about building, optimizing, and deploying ML systems at scale, and eager to push the boundaries of AI in advertising, this role is for you.
Requirements:
Strong experience designing, building, and maintaining end-to-end machine learning systems in production
Deep understanding of ML algorithms, embeddings, retrieval systems, and evaluation methodologies
Strong experience with large language models (LLMs), fine-tuning, inference optimization, and agent frameworks
Expertise in ML infrastructure, including feature stores, vector databases, model serving, and real-time inference pipelines
Strong Python skills and experience with PyTorch, TensorFlow, FastAPI, NumPy, scikit-learn, and data processing frameworks
Experience with scalable data pipelines (batch + streaming), including tools like Spark, Kafka, or similar
Experience implementing ML solutions such as recommendation engines, ranking models, and personalization systems
Solid understanding of statistical analysis (A/B testing, experimentation, causal inference)
Ability to work closely with engineering teams to productionize ML models with reliability, monitoring, and CI/CD best practices
What we offer:
Competitive equity in a venture-backed company shaping the future of music influencer marketing
A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny) — with our tech, support, and strategic guidance
Access to elite tools, AI copilots, and a team that builds daily at top speed
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