Zurich, Zurich, Switzerland · On-site
The Project We are building an AI system that is the backbone for the private equity industry. The Role Quantitative background (MSc/PhD in computational finance, statistics, applied math, physics, or ML). Fluent in prob…
Skills: Probabilistic Programming, Bayesian Inference, JAX, NumPyro, PyMC
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Build and scale production-ready ML pipelines and data ingestion systems for the private equity industry. Fine-tune foundational models and apply Bayesian inference to model uncertainty in financial valuations.
Requires a postgraduate degree in a quantitative field and deep expertise in probabilistic programming and Bayesian inference. Must have proven experience transitioning AI models from prototypes to resilient production systems.
Quantitative background (MSc/PhD in computational finance, statistics, applied math, physics, or ML). Fluent in probabilistic programming (JAX, NumPyro, PyMC). Hands-on experience building data pipelines on real-world messy inputs. Has fine-tuned large models for domain-specific tasks using frameworks like Unsloth or HuggingFace. Thinks in distributions, not point estimates. Uncomfortable when a system returns a number without a credible interval.
Build Production Pipelines: Take ownership of the end-to-end ML lifecycle. You will transition models from local Jupyter notebooks to scalable, production-ready systems.
Tame Messy Data: Architect data ingestion pipelines capable of handling noisy, real-world inputs—including scanned PDFs, inconsistent reporting formats, and missing data points.
Leverage Foundational Models: Fine-tune LLMs and vision models for domain-specific financial tasks.
Optimize for Efficiency: Apply techniques like LoRA, quantization, and efficient training loops using frameworks like Unsloth and HuggingFace to make large-scale AI practical and cost-effective.
Apply Advanced Mathematics: Utilize Bayesian inference and probabilistic programming to model uncertainty in private market valuations.
Foundations
Quantitative background (MSc/PhD in computational finance, statistics, applied math, physics, or ML)
Experience with probabilistic programming and Bayesian inference (JAX, NumPyro, PyMC)
Experience
Engineering Chops: Proven experience building production pipelines. You know firsthand the critical difference between a proof-of-concept demo and a resilient production system.
Applied AI/GenAI: Hands-on experience working with foundational models. You have successfully fine-tuned LLMs.
Resourceful Tooling: Deep familiarity with the modern AI stack (HuggingFace, Unsloth, PyTorch, etc.) and a knack for maximizing model performance on a startup budget.
Comfortable with agent-based modeling and economic simulation
Familiarity with financial concepts (NAV, IRR, fund structures) — PE experience a plus but not required
Swiss company builder that builds and scales global high-potential AI and tech startups.
Our vision is to build an AI ecosystem to develop leading global software companies that empower founders to create transformative, disruptive technology driving positive impact in Switzerland, Europe and beyond. We bring together teams of world-class engineers, business professionals, industry experts and entrepreneurs to build new companies from the ground up. We offer hands-on support, guiding founders from ideation to execution, including offering office space, generating ideas, finding co-founders, securing pilot customers, integrating cutting-edge AI, facilitating fundraising and founding companies.
Offices: Färberstrasse 6, Zürich, CH
Swiss company builder that builds and scales global high-potential AI and tech startups.
Our vision is to build an AI ecosystem to develop leading global software companies that empower founders to create transformative, disruptive technology driving positive impact in Switzerland, Europe and beyond. We bring together teams of world-class engineers, business professionals, industry experts and entrepreneurs to build new companies from the ground up. We offer hands-on support, guiding founders from ideation to execution, including offering office space, generating ideas, finding co-founders, securing pilot customers, integrating cutting-edge AI, facilitating fundraising and founding companies.
Offices: Färberstrasse 6, Zürich, CH
