Machine Learing Engineer
Full time 200000 - 200000 USD per-year-salaryJob Overview
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.
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.