As a Machine Learning Engineer at Influur, you will design, build, and maintain end-to-end ML systems, optimizing AI in influencer marketing. Responsibilities include collaborating with teams on ML-powered features and ensuring model reliability and performance.
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
- 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.
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.
• Hybrid flexibility + top-tier health benefits.
Top Skills
Fastapi
Kafka
Numpy
Python
PyTorch
Scikit-Learn
Spark
TensorFlow
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