Machine learning engineer in automotive SaaS

Jobster; United States; À distance; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Remote work

Creative freedom

Team workshops in Berlin

Résumé du poste

PDR.cloud is seeking a Senior Machine Learning Engineer to own the full ML lifecycle—from data analysis and feature engineering to model development and production pipelines. You’ll work hands-on as the first ML hire, shaping data-driven intelligence on a greenfield setup.

You collaborate with Product and Engineering using rapid prototyping, validate hypotheses, and iterate on models to drive product decisions.

Qualifications

• Proficient Python and SQL, with cloud experience.
• Strong foundation in statistics beyond basic sklearn.
• Experience deploying models in production and MLOps basics.

Responsabilités

• Own end-to-end ML lifecycle from data analysis to deployment.
• Collaborate with Product and Engineering in rapid prototyping.
• Scale models for a growing, heterogeneous customer base.

Connaissances

Python

SQL

Cloud platforms

Production ML / MLOps

Data engineering

Outils

AWS

GCP

Azure

Description du poste

Описание

At PDR.cloud, we are digitalizing the workshop of the future. Since 2018, we have been developing a cloud-based SaaS platform from Berlin that helps automotive repair shops manage complex damage processes more easily, faster, and fully digitally. As a Senior Machine Learning Engineer at PDR.cloud, you will take ownership of the entire ML lifecycle — from exploratory data analysis and model development to production pipelines and ongoing evaluation. You work hands‑on, are the first ML hire on the team, and shape what data‑driven intelligence looks like at PDR.cloud. Greenfield, real creative freedom, and bold pilot customers included.

Задачи

As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines. You work hands‑on across everything that comes with it — including data acquisition, schema design, data preparation, and the tools we use to evaluate our data. You collaborate closely with Product and Engineering using a rapid prototyping approach: validating hypotheses, iterating on models, extracting insights from data, and turning them into real product decisions. The role at PDR.cloud offers maximum creative freedom: you shape architecture, tooling, and data culture. Beyond the prototyping phase, exciting long-term challenges await: you will calibrate our models for a growing, heterogeneous customer base and continuously improve model quality.

Требования

• Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with a clear engineering focus — you design pipelines yourself and solve data problems independently
• Strong Python and SQL skills, plus confident use of a cloud platform (AWS, GCP, or Azure)
• A solid statistical foundation beyond sklearn defaults: you know classical and probabilistic model families and understand when to apply which approach
• Experience with production model deployment and MLOps fundamentals — you don't need a ready‑made ML platform, but build new model pipelines from scratch together with our ops professionals at PDR.cloud
• A pragmatic, hands‑on mindset: you enjoy working in rapid prototyping mode, deliver MVPs instead of over‑engineered architecture, and handle incomplete data and shifting requirements with confidence
• Будет плюсом: Experience with event or sequence data (logs, tracking events, transaction data) and irregular timestamps; Knowledge of probabilistic modeling or process mining; Experience building data and ML infrastructure in a greenfield setup; Background in SaaS, automotive, or insurance environments; Experience in agile product teams and direct collaboration with pilot customers

Условия

You will be part of a dedicated, interdisciplinary development team of experienced fullstack developers, UX designers, and product managers. At PDR.cloud, open communication, mutual support, and a constructive feedback culture are what matter — you will feel that from day one. You will work primarily remote, but regularly join your team for workshops or team‑building events in Berlin — for shared ideas and genuine connection beyond the screen. Flat hierarchies and short decision‑making paths give you the freedom you need to work creatively, efficiently, and independently, while continuing to grow personally.