20 beste Stellen als data science in heidelberg – aktuell auf Personalsuche

ML Product Engineer
kausable GmbH —Heidelberg
- 55.000 € – 120.000 € pro Jahr
- Hybrides Arbeiten
Direkt bewerben
Duales Studium Data Science und Künstliche Intelligenz (m/w/d), Daimler Truck AG, Werk Mannheim, Studienbeginn 01.10.2027
Daimler Truck AG —Mannheim
- Vollzeit
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Machine (Meta) Learner
kausable GmbH —Heidelberg
- 70.000 € – 120.000 € pro Jahr
- Hybrides Arbeiten
- Doktorat
- Master
Direkt bewerben
AIML - Sr. Software Development Engineer, Evaluation
Apple —Heidelberg
- Informatik
- Master
10 Tage
Postdoctoral Researcher (f/m/d)
Universitätsklinikum Mannheim —Mannheim
- Vollzeit
- Doktorat
Inhouse Integration Entwickler im Bereich Tax Technology & E-Invoicing (m/w/d)
cbs Corporate Business Solutions GmbH —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Master
- Weiterbildungsprogramme
Direkt bewerben
MSc or BSc Thesis / Internship (m/f/d) AI for Intent-Based Networking
ABB AG —Mannheim
- Vollzeit
- Master
Direkt bewerben
Software Engineer Enablement and Product
kausable GmbH —Heidelberg
- 50.000 € – 105.000 € pro Jahr
- Hybrides Arbeiten
Direkt bewerben
3 Tage
Global IT Project Manager m/f/d
CordenPharma —Plankstadt
- Vollzeit
- Wirtschaft
Postdoctoral Researcher (m/f/d) - Neuropeptide Research
Zentralinstitut für Seelische Gesundheit —Mannheim
- Teilzeit
- Doktorat
4 Tage
Internship / Master Thesis Student (m/f/d) AI for Network Security and Orchestration
ABB AG —Mannheim
- Vollzeit
Direkt bewerben
Global Circular Economy Lead (f/m/d)
Hitachi Rail —Mannheim
- Ab 52.700 € pro Jahr
- Vollzeit
- Master
- Mit Reiseanteil
Internship global strategic Purchasing office (m/w/d) for 12 month
Interroll Holding GmbH —Sinsheim
- Vollzeit
Direkt bewerben
Manager Climate and Environment (m/f/d)
CropEnergies AG —Mannheim
- Vollzeit
- Master
- Bachelor
- Kommunikationsfähigkeit
10 Tage
Intern (m/f/d) Operational Controlling Analytics
Phoenix Medical —Mannheim
- 2.322 € pro Monat
- Master
- Bachelor
- Praktikum
- Flexible Arbeitszeiten
9 Tage
Trainee SAP Business Intelligence (SAP BI) Consultant (m/w/d)
cbs Corporate Business Solutions GmbH —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Datenanalyse
- Master
- Weiterbildungsprogramme
Direkt bewerben
Masterand (m/w/d) / Werkstudent (m/w/d)
tmax Germany GmbH —Mannheim
- Master
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
4 Tage
Snowflake Data Engineer (m/w/d)
EDEKA IT Stiftung & Co. OHG —Mannheim
- Vollzeit
- Azure
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
9 Tage
Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)
AbbVie —Ludwigshafen am Rhein
- Vollzeit
- Doktorat
Software Engineer for Digital Data Exchange (m/f/d)
ABB AG —Mannheim
- Vollzeit
- Master
- Bachelor
Direkt bewerben

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ML Product Engineer

kausable GmbH
Heidelberg

Direkt bewerben

Details zur Stelle

55.000 € – 120.000 € pro Jahr

Vollständige Stellenbeschreibung

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!

Direkt bewerben

Erweiterte Suche

data science Jobs in heidelberg

ML Product Engineer

Duales Studium Data Science und Künstliche Intelligenz (m/w/d), Daimler Truck AG, Werk Mannheim, Studienbeginn 01.10.2027

Machine (Meta) Learner

AIML - Sr. Software Development Engineer, Evaluation

Postdoctoral Researcher (f/m/d)

Inhouse Integration Entwickler im Bereich Tax Technology & E-Invoicing (m/w/d)

MSc or BSc Thesis / Internship (m/f/d) AI for Intent-Based Networking

Software Engineer Enablement and Product

Global IT Project Manager m/f/d

Postdoctoral Researcher (m/f/d) - Neuropeptide Research

Internship / Master Thesis Student (m/f/d) AI for Network Security and Orchestration

Global Circular Economy Lead (f/m/d)

Internship global strategic Purchasing office (m/w/d) for 12 month

Manager Climate and Environment (m/f/d)

Intern (m/f/d) Operational Controlling Analytics

Trainee SAP Business Intelligence (SAP BI) Consultant (m/w/d)

Masterand (m/w/d) / Werkstudent (m/w/d)

Snowflake Data Engineer (m/w/d)

Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)

Software Engineer for Digital Data Exchange (m/f/d)

Ich möchte aktuelle Job-E-Mails für Stellen als data science in heidelberg erhalten

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