Data Scientst -AI
San Francisco Bay Area
Influur
We connect you with influencers that will exponentiate your growth. Boost your Influencer Marketing Strategy around the globe. Data-backed and result-driven.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 data person passionate about deploying and fine-tuning models in real-world systems, and eager to push the boundaries of AI in advertising, this role is for you.
Your Skillset
- Experience building fundamental models.
- Deep experience with large language models (LLMs), agents, and frameworks.
- Expertise in machine learning pipelines, including model development, evaluation, and deployment.
- Experience building and deploying generative AI models (OpenAI, Langchain, CrewAI, etc).
- Strong Python skills and experience with PyTorch, FastAPI, NumPy, scikit-learn, and data visualization tools.
- Experience designing scalable AI architectures, including contextual product recommendations and cold start algorithms.
- Strong statistical analysis background (A/B testing, experimental design, time series, multivariate analysis).
- Ability to turn research prototypes into production-ready solutions in collaboration with product and engineering teams.
You’re the Type Who
- Writes clean, reusable, and well-documented code for ML pipelines and experiments.
- Enjoys experimenting with the latest AI frameworks and tools — and rapidly prototypes new concepts.
- Collaborates cross-functionally with product, data, and design teams to build AI features that directly impact the user experience.
- Thrives in fast-paced, early-stage environments where iteration and ownership are key.
- Thinks analytically and solves complex problems with efficiency.
- Stays curious about the latest in AI, especially LLM deployment, personalization engines, and data-driven UX.
- Thrives in ambiguity and builds structure from chaos.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Architecture Data visualization Engineering FastAPI Generative AI LangChain LLMs Machine Learning ML models NumPy OpenAI Pipelines Python PyTorch Research Scikit-learn Statistics Testing UX
Perks/benefits: Career development Health care Startup environment
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