Machine Learning Engineer redefining advertising through AI at Influur. Building a next-gen platform for artist, brand, and creator connections.
Responsibilities
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.
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.
Benefits
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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