Hybrid Machine Learning Engineer

at Influur

• Job title: Machine Learning Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Kafka, Numpy, Python, PyTorch, Scikit-Learn, Spark, Tensorflow
• Location requirements: Hybrid, New York City, United States

About the role

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