---
title: 'Senior Machine Learning Engineer at CarOnSale'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-caronsale-brazil-cnrnkp0rxh43'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Machine Learning Engineer at CarOnSale

- **Company:** CarOnSale
- **Location:** Brazil
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.eu.greenhouse.io/caronsale/jobs/4968917101

## Job description

Senior Machine Learning Engineer (m/w/d) – Freelance (PJ), Brazil

You don't want another contract that ends at the notebook. You want the pager, the promotion lane and the authority to say a model isn't ready. This one is based in Brazil, 40 hours a week on your own invoice, and everything after handoff is yours.

Location: Remote from Brazil — you must be based in Brazil. 40 hours per week, Monday to Friday, with daily overlap into the Berlin working day.

## About us

CarOnSale is the AI-powered platform for B2B used car trading in Europe. Over 40,000 buyers from more than 20 countries trade on our platform — and 85% of inventory is exclusive to us. We connect software, pricing intelligence, logistics and financing in one layer — as the operating system for an entire industry.

One Platform. One Profit Engine.

The platform you build in

Our machine learning runs on one shared, central platform — not a separate pipeline per model. Five canonical stages: data extraction, validation, transformation, training and evaluation. A Snowflake data warehouse feeds a SageMaker managed feature store, and models reach production through governed CI/CD promotion lanes on Terraform-managed AWS infrastructure. Four models serve production today. Fifteen to twenty by mid-2027. Your job is to build inside that platform and make it stronger, so the next model costs less to ship than the last one.

## Your responsibilities

- You own models from handoff through to production: packaging, deployment, monitoring, and the decision on whether a model is ready to serve
- You keep production models reliable — drift detection, performance monitoring, alerting and incident response when something moves
- You own the serving and inference path: fitted pipeline artifacts, inference entry points, monitoring hooks and feature-store parity
- You review model design and evaluation methodology before anything ships, and catch data leakage, backward-window errors and weak evaluation during development, while they are still cheap to fix
- You extend the shared platform so it stays useful for every model, without project-specific logic leaking into shared code
- You set the engineering standards the platform runs on as it scales across the organisation

## What you bring

- 2+ years in production machine learning engineering, with real ownership of models after handoff — not only training them
- Strong Python: typed, tested, production-grade code, and you review the work of others
- Enough machine learning depth to challenge a pipeline on problem framing, feature engineering, model selection and evaluation methodology
- Hands-on experience with a managed ML platform — SageMaker, Vertex AI, Databricks or Azure ML — plus feature stores, CI/CD for machine learning, AWS and Terraform
- An AI-native way of working: you use tools like Claude, ChatGPT or Copilot actively in your daily work
- English at C1 level, written and spoken. German is not required — we work in English
- You are based in Brazil and invoice through your own company. We work directly with you, not through intermediary or umbrella services

## Nice to have

- Snowflake and dbt — you can pick both up here
- Experience mentoring colleagues or reviewing their work
- Comfort operating where the answer is not defined yet

What to expect from us

- A full-time engagement: 40 hours per week, Monday to Friday, invoiced monthly against your own company
- You are treated like a full member of the team — standups, bi-weekly sprints, and all company communication
- Fully remote from anywhere in Brazil
- An English-speaking engineering team with short decision paths
- Direct ownership of models serving a live product, not a proof of concept
- Structured onboarding with a buddy from the team

Apply now — your CV is enough.

## About CarOnSale

## Company Overview
- **One-liner**: CarOnSale is an AI-powered operating system and pan-European B2B marketplace that connects professional used car dealers to trade vehicles efficiently.
- **Entity Type**: Private (Series C)
- **Headquarters**: Berlin, Germany
- **Founded**: 2018
- **Founders**: Tom (CEO), Fabian (CTO), Oguz (CCO), Max (COO, joined 2019)

## Core Business
- **Primary industry**: Automotive (B2B used car marketplace)
- **Target customers**: B2B – professional used car dealers (dealerships, consigning dealers, buyers across Europe)
- **Mission**: To become the premier pan-European managed B2B used car marketplace, partnering with dealers to solve their daily challenges and enhance the used car transaction experience.

## Products & Services
- **CarOnSale Marketplace**: AI-powered auction platform for buying and selling used cars among licensed dealers across Europe. Supports price algorithms, guaranteed pricing, financing, and fulfillment services.
- **COSCheck**: 110-point condition report including OBD scan and battery test to ensure transparent vehicle quality.
- **AI Valuation**: Guaranteed price based on real transaction data to secure margins before trade-in.
- **AlphaOnline (Strategic Partnership)**: Leading used car management software integrated with CarOnSale’s auction services for a seamless customer experience.
- **Fintech & Logistics**: Additional solutions for payment, vehicle intake, operational services, and logistics.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – Series C led by Northzone (date not specified); previous rounds: Series B led by Stripes and HV Capital, Series A led by Insight Partners, Seed led by CREANDUM. Revenue doubles annually; ~1.3 million vehicles processed per year; ~200 employees.
- **Notable Investors/Partners**: Northzone, Stripes, HV Capital, Insight Partners, CREANDUM; Strategic partner: AlphaOnline.
- **Growth Signals**: Revenue doubling year-over-year; user numbers tripling across >20 EU markets; targeting annual sales of 1 million used cars through the platform; office expansion to Berlin, Munich, Nuremberg, Hamburg.

## Competitive Advantages
- Strong network effects: Europe-wide buyer base drives higher closing rates and better proceeds for sellers.
- Asset-light model: partners with dealers instead of competing with them.
- Data and AI-driven pricing, valuation, and process automation.
- End-to-end offering: from vehicle inspection and valuation to payment, logistics, and fulfillment.
- 85% of vehicles originate from licensed dealer groups, ensuring quality and trust.

## Strategic Focus
- Scale to 1 million used car transactions annually across Europe.
- Enhance platform with additional fintech, logistics, and operational services.
- Deepen data and AI capabilities to further automate and optimize transactions.
- Build a scalable, sustainable organization with a robust, technology-driven business model.

## Why Work Here
- **Culture**: Values include Boldness, Customer-centricity, Bias for action, Data driven, Ownership, and ONE Team mindset. Hands-on, entrepreneurial, and resilient environment.
- **Benefits**: Competitive compensation + stock option program; mobility package (job bike, Deutschlandticket, company car for sales); health & wellbeing (Urban Sports Club or FitX membership); employer-sponsored retirement plan; employee shopping discounts; regular team events (summer event, COS Talks).
- **Work Model**: Offices in Berlin (HQ), Munich, Nuremberg, and Hamburg. Hybrid/office policy likely varies by role (vehicle inspectors on road, field sales, tech roles in offices).
- **Hiring Process**: CV submission → screening call with People Team → interview(s) with hiring team (may include task or case study) → offer. Typically 1–2 weeks decision time.
- **Engineering Culture**: Tech stack is modern (specifics not detailed but noted on careers page); data-driven approach is core to the product and company mindset.

## Sources
1. [CarOnSale Careers](https://www.caronsale.com/en/careers)
2. [CarOnSale About Us](https://www.caronsale.com/en/about-us)
3. [CarOnSale Homepage](https://www.caronsale.com/en)
4. [CarOnSale LinkedIn](https://in.linkedin.com/company/caronsale)
5. [CB Insights](https://www.cbinsights.com/company/caronsale)

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