ML Product Engineer

Job details

Work model

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Salary

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Location

Heidelberg

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

At kausable, we build causal, reasoning-first models that learn from a handful of examples and generalize across domains. Research gets us to a capable model. This role gets that model into the hands of users. As our ML Product Engineer, you own the path from a promising result in the lab to a dependable production capability: serving, evaluation, data flows, reliability, latency and cost. You will work at the boundary between research and product, where good technical judgment matters more than a clean handover. Tasks • Turn research models into production-grade services with clear reliability, latency and cost targets. • Build evaluation harnesses and release criteria that show quantitatively when a model is ready to ship. • Design the data pipelines, versioning and observability needed across training, evaluation and live inference. • Build stable APIs and developer-facing abstractions around our models. • Work closely with researchers to expose failure modes and turn product feedback into better models and evaluations. • Translate customer and design-partner needs into reusable platform capabilities rather than one-off solutions. • Own model releases, monitoring and rollback patterns as the production footprint grows. Requirements • A track record of shipping ML-powered systems to production and operating them after launch. • Strong software engineering skills in Python and hands-on fluency with PyTorch. • Experience with model serving, APIs, containers and cloud infrastructure. • Sound judgment around evaluation, observability, reliability and production trade-offs. • The ability to work directly with customers, researchers and product stakeholders. • A pragmatic, outcome-oriented mindset: you optimize for dependable capabilities that users can actually adopt. • We are primarily hiring at senior level. We are also open to exceptional candidates with fewer years of experience who can demonstrate comparable depth, judgment and ownership. Nice to have: • In-context learning, PFNs, synthetic data or probabilistic models. • Weights & Biases, model registries, CI for models or comparable MLOps tooling. • SDK or developer-tooling design. • Security, privacy or on-premise deployment requirements. • Prior startup, design-partner or 0-to-1 product experience. Benefits 🚀 Where This Can Go You will define how kausable ships ML: the patterns, tooling and standards between research and production. As the team grows, the role can expand into technical ownership of the model-to-product stack or leadership of a small ML product group. The trade-off is part of the job: shipping quickly matters, but only when the resulting system remains measurable, reusable and dependable. 🫂 Our Culture We are "Putting Science at the Core of AI". That means we: • are scientists at heart, with a builder's mindset, • are open to challenge, grounded in curiosity and respect, • welcome diverse perspectives and value thoughtful, open debate, • focus on outcomes and real-world impact, • foster an environment of support, inspiration, and freedom for everyone to do their best work. 🏆 Perks & Benefits • VSOP equity: a real stake in what we build. • 30 days of paid holiday per year. • Statutory social insurance. • Conference travel and role-relevant learning. • Flexible hybrid work, with roughly one in-person team meet-up per month. • A high-end laptop and access to the cloud compute required for the role. ⚒️ Tools and Infrastructure • Python and PyTorch. • Weights & Biases and model-evaluation tooling. • Docker, AWS, RunPod and comparable cloud infrastructure. 🫶 Sounds like it's for you? Send us your favorite way to drink coffee along with your CV or LinkedIn, and we'll get back to you soon. If it's a match, we'll get to know each other over a number of online interviews, followed by an onsite day where we go in depth. We are looking forward to hearing from you! Find Jobs in Germany on Arbeitnow