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.

• 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, Tensor Flow, FastAPI, Num Py, 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 product ionize ML models with reliability, monitoring, and CI/CD best practices.

• Writes clean, reusable, and well-documented code for ML pipelines and distributed systems.
• Enjoys experimenting with the latest AI frameworks, ML optimizations, and deployment techniques, turning ideas into fast prototypes.
• Partners closely with engineering, product, and data teams to ship ML-powered features that directly impact the user experience.
• Thrives in fast-paced, early-stage environments where experimentation, ownership, and rapid iteration matter.
• Thinks analytically and solves complex technical problems with efficiency and creativity.
• Stays curious about the latest advances in ML infrastructure, LLM optimization, retrieval-augmented systems, and real-time personalization.
• Thrives in ambiguity and builds scalable structure from chaos.

$200,000 - $200,000 a year

• 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.
• Hybrid flexibility + top-tier health benefits.