Your role

We are building the forecasting foundation model to rule them all. All enterprise companies run forecasting to plan their operations: staffing, supply-chain management, finances… We provide the data, models and platform to easily build the most accurate forecasts. This significantly reduces waste and increases cash flow for our customers.

The forecasting model is at the heart of our technology. As the founding MLE, you will build, train and deploy large foundation model architectures: implement and combine ideas from the literature, experimentally verify them, and ultimately deploy your model for our customers to use in production. Our goal is for our models to be the best for our customers’ use cases.

You love your craft, have high standards, stay up-to-date with the latest ideas in ML, and know when to make trade-offs to ship. You live and breathe neural networks, speak PyTorch or Jax, and are comfortable with large amounts of data. Bonus if you have experience building solid ML infra.

Your responsibilities

• Architect and train time-series foundation models using diverse datasets, integrating multimodal inputs like numerical time series, text, and image data
• Stay up-to-date on the foundation model literature
• Design reproducible experiments to verify, compare and combine ideas from the literature
• Deploy models for use in our API and platform - getting into the gritty details if exporting to ONNX requires some custom operation or torch.compile fails
• You’re not afraid to join a customer meeting to learn about their use case, to collaborate with our data engineer on ML data pipelines, or take on other miscellaneous tasks.

Bonus

• You’ve built and trained large foundation models
• You’ve built and productionized ML infrastructure for evaluation and training
• You have previous experience with time-series, supply chain or forecasting problems

Why join The Forecasting Company?

• Be part of an elite, diverse and fun team. We celebrate having people with different backgrounds who are the best at what they do. We especially enjoy working with cracked people with nonlinear paths. Our CTO was a theater consultant in another life. 🎶
• Make the world more efficient. Optimize large scale systems through forecasting for household-name enterprise customers.
• Build cutting edge systems. Shape our infrastructure to train and serve state of the art multi-modal forecasting systems.
• Satisfy your curiosity. Learn how the world works, from within.

Benefits

• Generous equity
• Daily lunch vouchers
• Contribution to a fitness subscription
• Monthly contributions to a mobility pass
• Full health insurance for you and your family
• Tasty caffeine in the office (we love good tea + coffee)

Our company

Our goal is to provide the most accurate and easy to use forecasts to our customers, by leveraging all possible information on their industry. Foundation models for time series are changing this entirely. We can now pre-train a model on diverse temporal data across industries. Our users can rapidly interact with our models by changing inputs, providing context in natural language, and get immediate feedback on accuracy. Our users do not need to be data scientists or have an ML PhD to build and ship an accurate forecasting system for their use-cases.

Example use cases include demand forecasting for large furniture chains, for a restaurant group, and revenue forecasting in the gaming industry.

The founders are both ML PhDs who have built forecasting and ML systems at JP Morgan, Amazon, Google, Bloomberg, and Sonos in the US.

We are a global company that happens to be HQed in Paris. Get the best of both worlds — Silicon Valley work ethic and ambition in the center of Paris.