Machine Learing Engineer

About Influur

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.

Your Skillset

• 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.

You’re the Type Who

$200,000 - $200,000 a year

What We Offer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.