Founding Machine Learning Engineer at The Forecasting Company | Y Combinator
We are on a mission to create the forecasting foundation model to rule them all. Forecasting drives critical decisions
worldwide - impacting staffing, supply chain management, finance and more. Our solution provides companies with the
models, platform and APIs they need to easily generate the most accurate forecasts possible, helping to significantly
reduce waste and enabling smarter, more confident decisions.
Who we’re looking for
The forecasting model is at the heart of our technology. As the second founding MLE, you will build, train and deploy
large foundation model architectures: implement and combine ideas from the literature, push the state of the art, 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 - including for capabilities that do not exist yet in academic models.
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, and speak PyTorch or Jax. You are used to diving deep in large amounts of
data, and you know what you train your models on. Bonus if you have experience building solid ML infrastructure.
You are passionate about your craft, maintain high standards, stay current with the latest tech and know when to make
trade-offs to deliver results efficiently. We do not believe great engineers are “jack of all trades”, but rather that
they excel at diving deep into complex topics quickly, leveraging a broad range of experiences to solve challenging
problems. You are also open to exploring new concepts, technologies, and enjoy quickly throwing prototypes together to
kick the tires. You prefer quick feedback loops, rather than aiming for perfection on the first try.
What you’ll be doing
- Architect and train time-series foundation models using diverse datasets, integrating multimodal inputs like
numerical time series, text, location and image data
- Stay up-to-date on the foundation model literature
- Design reproducible experiments to verify, compare and combine ideas from the literature.
- Build 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 train or test datasets.
- 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
- Gather and act on user feedback, iterating on model capabilities to maximize customer satisfaction and impact.
- Mentor and guide future team members, helping shape a high-performing science and engineering culture as the team
grows.
Requirements
Must have
- You have extensive ML engineering and science experience.
- You have worked on training large foundation models.
- You are intimately familiar with Python, PyTorch or Jax.
- Strong drive and ambition - you really care about having an impact on the product, and revenue.
- You go deep. You enjoy understanding all the details, and you don’t make assumptions without checking them.
Nice to have
- You are intimately familiar with at least one low-level language such as CUDA, Rust or C++.
- You’ve worked extensively with time series data and systems delivering real-time data streams.
- You have started projects from scratch. You might have led a project, been a founder previously, or built an
impressive side project with real users.
- You have built RAG-ready models.
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. 🎭 We already hail from 6 nationalities with only 5 people. Come be our 7th!
- Make the world more efficient. In business, success is driven by smart decision-making. By providing the most
accurate insights as early as possible, we help ensure that more decisions lead to successful outcomes, creating a
positive impact worldwide.
- Satisfy your curiosity. Learn how the world works, from within household-name companies.
- Build state-of-the-art systems. Shape our infrastructure to handle and deliver state-of-the-art multi-modal
forecasting systems.
Benefits
- Competitive compensation
- Generous equity
- Daily lunch vouchers
- Gym in the office
- Monthly contributions to a mobility pass
- Full health insurance for you and your family
- Tasty caffeine in the office
