Machine Learning Engineer II

Everoad by sennder; Berlin; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading digital freight forwarding firm is seeking a Machine Learning Engineer II to join their team in Berlin. You will develop and deploy ML solutions, optimize recommendation systems, and engineer scalable ML pipelines. The ideal candidate has over 5 years of experience in machine learning, strong software engineering skills, and expertise in NLP and recommender systems. This position offers a hybrid working model and a dynamic team environment.

Leistungen

Performance bonuses

Flexible workspaces

Healthy snacks in the office

Qualifikationen

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Solid grasp of NLP (Transformers, LLMs) and Recommender Systems.
• Strong fluency in Python, writing clean, modular, and testable code.

Aufgaben

• Develop and deploy NLP & LLM solutions for logistics.
• Maintain and refine recommendation systems for load matching.
• Design robust ML training and inference pipelines.

Kenntnisse

Experience in Machine Learning

NLP expertise

Software engineering skills in Python

SQL proficiency

Excellent communication skills

Ausbildung

Bachelor's or Master's degree in relevant field

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Jobbeschreibung

Machine Learning Engineer II

Location: sennder HQ Berlin | Machine Learning | Hybrid | Full-time

sennder is Europe's Leading Digital Freight Forwarder. In a traditional industry, we're moving fast and focusing on the digitalization and automation of road logistics.

By leveraging our proprietary technology, we're building an ecosystem that is leading the industry into the 21st century.

We are a growing team looking for a ML Engineer II in the Data/ML department to help us on our journey to revolutionize road freight logistics. The role is located in our Berlin, Barcelona or Amsterdam offices.

WHAT YOU WILL DO …

We are seeking a Machine Learning Engineer II to join our ML team. You will work on a diverse portfolio of high-impact projects, ranging from optimizing our established Load-to-Carrier Recommendation engine to building greenfield GenAI solutions that automate complex Operator workflows.

You will act as an end-to-end ML Engineer, taking ownership from "Light MVP" prototyping to production deployment. You will tackle challenges involving both structured data (ranking/matching) and unstructured data (text/NLP).

• Develop and deploy NLP & LLM solutions: Build production-grade systems for email classification, entity extraction, and automated bidding strategies using modern transformer-based architectures and LLM APIs.
• Maintain and refine Recommendation Systems: Optimize existing recommender pipelines to ensure carriers are matched with the best loads.
• Engineer scalable ML pipelines: Design robust training and inference pipelines, ensuring your models are reliable, observable, and meet strict SLAs.
• Handle unstructured data at scale: Work with Data Engineering to turn messy logistics data (emails, PDFs, chat logs) into structured features.
• Drive the product strategy: Work closely with Product Managers and Operators to drive the adoption of ML-powered products and revolutionize the logistic industry.
• Drive experimentation: Implement A/B tests and offline evaluation frameworks to measure the real-world business impact of your models, favoring pragmatic solutions over theoretical complexity.

WHAT WE ARE LOOKING FOR …

• Experience: 5+ years of experience as a Machine Learning Engineer or Data Scientist with a strong software engineering component.
• Applied ML Expertise: Solid grasp of NLP (Transformers, LLMs, HuggingFace) and Recommender Systems (collaborative filtering, learning-to-rank, two-towers architecture). You know when to use a simple regression and when to deploy a complex deep learning model.
• Software Engineering proficiency: Strong fluency in Python (incl. Scikit learn, pandas and backend designs), you write clean, modular, and testable code. Experience with API frameworks (FastAPI, Flask), containerization (Docker, Kubernetes) and ML frameworks (Tensorflow, PyTorch) is required. You are familiar with AWS, Terraform and datadog.
• Production Mindset: Experience deploying models to production environments. Familiarity with model serving tools (e.g., BentoML, MLFlow) and workflow orchestration (e.g., Flyte, Airflow) is a strong plus.
• Data Fluency: Advanced SQL skills and experience working with cloud data warehouses (e.g., Snowflake).
• Problem Solver: You are motivated by solving business problems, not just technical ones. You are comfortable navigating ambiguity and iterating fast to validate hypotheses.
• Excellent communication skills: with a comfort level in explaining technical trade-offs to diverse audiences ranging from developers to stakeholders.

Nice to have

• Familiarity with MLOps tools and practices, such as containerization (Docker, Kubernetes), model versioning systems, and infrastructure automation (e.g., Terraform).
• A background in advanced data engineering concepts such as real-time streaming, large-scale ETL workflows, or AI-specific data pipelines.
• Experience deploying models at scale and creating fault-tolerant architectures.
• Experience with reinforcement learning applications in pricing or revenue optimization, and knowledge of game theory, auction mechanisms, or marketplace dynamics, to collaborate with our 2nd ML team.

WHY CHOOSE SENNDER…

We believe in empowering our people to grow beyond their limits, embrace challenges, and create solutions that drive our collective success. Our culture thrives on entrepreneurial spirit, resilience, and collaboration.

Dynamic Scale-Up

sennder is at a pivotal stage – transitioning from a scale-up to a sustainably growing company. This means we move fast and constantly push ourselves to improve. Joining us means being part of an ambitious, international team of talented individuals who value teamwork as much as bold thinking. Face-to-face connections across our offices remain central – it's not uncommon to travel to our offices across Europe to collaborate as we tackle challenges and celebrate wins, together.

Put Your Stamp on the Industry

We operate in a complex and ever-changing industry where your ideas and efforts have tangible, transformative impact. This is your chance to be hands‑on in creating sustainable, meaningful solutions that help businesses thrive.

Employee Well-Being

We make mental wellbeing and engagement a priority through initiatives like our sennCare program, a partnership with nilo (global wellbeing platform), and regular satisfaction surveys via Culture Amp. And most importantly, work alongside people who truly care about you as a person. There is something special about the people at sennder that goes beyond just ‘work’.

Your Growth, Rewarded

We believe in rewarding our team for their commitment and contributions to our long‑term success. Our compensation package may include performance bonuses, referral rewards, or equity that align with our goal of building a thriving together. We're excited to grow with you!

Vibrant Workspaces

Our offices are equipped with healthy snacks, focus zones, and social areas to keep you energized and connected. When you walk into a sennder office, you immediately feel the sennder spirit: our shared culture paired with each location’s own unique character. Highlights include a slide in our Wroclaw office and a sunny rooftop terrace in Berlin, Amsterdam, and Milan! We also enjoy coming together regularly, from monthly aperitivos to spontaneous team moments.

We celebrate diversity and value your character just as much as your skills. If you don’t meet every requirement, don’t worry, we still encourage you to take a chance and apply. Bring your authentic self and help us shape the future of logistics in Europe.

Please read our Privacy Policy before submitting your application.

Learn more about us on our career website.