We’re on a mission to create a baseline forecasting model to rule them all. Forecasting drives critical decisions around the world – impacting hiring, supply chain management, finance, and more. Our solution provides businesses with the models, platforms, and APIs they need to easily create the most accurate forecasts possible, helping to dramatically reduce waste and enable smarter, more confident decisions.

The prediction model is the core of our technology. As the second founder of MLE, you will build, train, and deploy large prototype architectures: implementing and integrating ideas from the literature, pushing the state-of-the-art, and ultimately publishing your model for our customers to use in production. Our goal is for our models to be the best for our customers’ use cases – including capabilities not yet found in academic models.

You love your craft, have high standards, stay up to date on the latest ideas in machine learning, and know when to make trade-offs to ship. You live and breathe neural networks, and speak PyTorch or Jax. You’re used to diving deep into large amounts of data, and you know what to train your models on. Bonus if you have experience building robust machine learning infrastructure.

You are passionate about your craft, maintain high standards, stay up to date on the latest technologies and know when to make trade-offs to achieve results efficiently. We don’t believe that great engineers are jack-of-all-trades, but rather that they excel at delving into complex topics quickly and drawing on a wide range of experiences to solve difficult problems. You’re also open to exploring new concepts and technologies and enjoy putting together prototypes quickly to kick the tires. You prefer quick feedback loops, rather than striving for perfection on the first try.

• Design and train basic time series models using diverse datasets, integrating multimedia inputs such as digital time series data, text, location, and image
• Stay up to date on the organization’s model literature
• Design replicable experiments to verify, compare and combine ideas from the literature.
• Create your own data exploration tools to understand (lagged) correlations between different data sources, data sparsity, weather patterns, consumer trends…
• Add data sources you find interesting to our training or testing datasets.
• Deploying models for use in our API and platform – getting into the nitty-gritty if exporting to ONNX requires some custom operations or torch.compile fails
• Collect and act on user feedback, iterating on model capabilities to maximize customer satisfaction and impact.
• Mentor and mentor future team members, and help shape a high-performance science and engineering culture as the team grows.

It must be

• You have extensive engineering and science experience in machine learning.
• I’ve worked on training large baseline models.
• You are intimately familiar with Python, PyTorch, or Jax.
• Strong drive and ambition – you truly care about impact on product and revenue.
• You go deep. You enjoy understanding all the details, and do not make assumptions without checking them.

Nice to have

• You are fully familiar with at least one low-level language such as CUDA, Rust, or C++.
• I have worked extensively with time series data and systems that provide real-time data streams.
• I started projects from scratch. Maybe you’ve led a project, been a previous founder, or built an impressive side project with real users.
• I built RAG ready models.

• Be part of an elite, diverse and fun team. We celebrate people from different backgrounds who are the best at what they do. We especially enjoy working with people with non-linear paths. Our CTO was a theater consultant in another life. 🎭 We already come from 6 nationalities with only 5 people. Come be our 7th!
• Make the world more efficient. In the business world, success is driven by making smart decisions. By delivering the most accurate insights as soon as possible, we help ensure that more decisions lead to successful outcomes, creating positive impact around the world.
• Satisfy your curiosity. Learn how the world works, from inside household-name companies.
• Building the latest systems. Shape our infrastructure to handle and deliver state-of-the-art multi-modal forecasting systems.

benefits

• Competitive compensation
• Generous stock
• Daily lunch vouchers
• Office gym
• Monthly subscriptions to the mobility card
• Complete health insurance for you and your family
• Delicious caffeine in the office