Senior Data Scientist

@ Float

About Float

At Float, we are on a mission to build the world’s first Agentic Home Platform, starting with our AI Energy Agent. Our proprietary hardware module unlocks a unique, high-resolution dataset of household electricity consumption at the edge. We have built a state-of-the-art real-time energy disaggregation algorithm that breaks down a home’s total electricity usage into individual appliances. This is a unique opportunity to work on a real world AI problem with potential global impact.

The Role

We are looking for a Senior Data Scientist to take a leading role in pushing Float’s core AI technology forward. This role goes beyond training models—it’s about building the infrastructure, testing environment, and deployment pipelines ensuring robust algorithm performance in real-world conditions.

• Lead development and validation of real-time appliance-level disaggregation models.
• Build and maintain a cutting-edge test environment for model optimization.
• Deploy ML models in production IoT environments balancing accuracy and latency.
• Utilize a unique proprietary dataset to explore advanced learning approaches.
• Influence the overall AI strategy and product roadmap.

What We’re Looking For

You should apply if you have:

• 4+ years of experience building and deploying ML/AI models into production.
• Experience setting up test and validation frameworks for ML performance.
• Proficiency in Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Weights & Biases.
• Experience handling time series data and understanding edge AI challenges.
• Ability to thrive in ambiguous startup environments, ideally with prior startup experience.

Why Float

Join Float to work with a rare dataset at the intersection of IoT, energy, and AI. Enjoy a direct impact on climate change, energy flexibility, and the electrification of homes. Work alongside a global founding team with extensive startup experience, including YC alumni, in a dynamic, early-stage startup environment.

Key skills/competency

AI, Data Science, IoT, Edge AI, Disaggregation, Python, MLOps, TensorFlow, PyTorch, Time Series