Senior Machine Learning Engineer (mfd)

Our mission

We are on a mission to save our planet - one second hand product at a time.

As a Senior Machine Learning Engineer (m / f / d) youll play a key role in designing developing and operationalizing machine learning models that drive core business areas such as pricing logistics marketing and customer experience. Youll join a team that values experimentation pragmatic engineering and end-to-end ownership - from research to production.

Your mission

• Design and implement robust machine learning solutions for real-world applications at scale
• Take algorithms and models from research to production ensuring reliability scalability and observability
• Build and maintain ML pipelines using modern MLOps tools (e.g. Kubeflow Pipelines MLflow Weights & Biases Evidently AI)
• Deploy and serve models using frameworks like FastAPI Docker and Kubernetes ensuring efficient retraining and monitoring
• Collaborate cross-functionally with data scientists engineers and product managers to translate business needs into ML-driven solutions
• Contribute to the evolution of momoxs ML system and advocate for best practices in model lifecycle management and continuous improvement

Our tech stack

• Python : PyTorch FastAPI Scikit-learn HuggingFace LitServe vLLM
• Cloud & Infrastructure : Docker Kubernetes GCP
• CI / CD : Gitlab ArgoCD
• Model orchestration : Kubeflow (Vertex AI pipelines)
• Data : BigQuery Postgres Milvus FAISS FEAST
• Monitoring : Grafana Evidently AI W&B Prometheus

Your profile

• Masters or PhD in Computer Science Engineering Mathematics Statistics or a related field focused on Machine Learning
• 3-5 years of experience developing and deploying ML systems in production environments
• Deep understanding of ML algorithms statistical modeling and deep learning techniques
• Proficiency with PyTorch and at least one other modern ML framework such as JAX or TensorFlow
• Solid experience with MLOps model orchestration and observability tools (e.g. Prometheus CI / CD MLflow )
• Experience working with cloud platforms ( GCP AWS or Azure )
• Strong communication skills - you can clearly explain complex ML concepts to both technical and non-technical audiences
• Fluency in English (German is a plus but not required)

Nice to have :

• Hands-on experience with vision-language models reinforcement learning or recommender systems
• Knowledge of distributed training and large-scale inference
• Familiarity with Model Context Protocol (MCP) and emerging agentic workflows
• Understanding of safe GenAI application design and evaluation
• Experience using vector databases (e.g. Milvus Pinecone) for retrieval-augmented systems
• Domain experience in pricing logistics or marketing ML applications

Flexible working hours

We work according to a hybrid model that offers you maximum flexibility while also fostering important personal connections. Whether in our centrally located office or working remotely - you and your team decide together where and when you want to work. You can arrange your working hours flexibly. For personal interaction your team meets at least 20 days per quarter in the office as our team days are held in person.

Training

momox is only as good as you. Thats why you will find room and budget for your individual professional development with language classes internal training conferences (online) courses and more.

Company discounts

As a momoxian you can look forward to a monthly voucher for our momox Fashion online shop as well as medimops. Additionally you benefit from numerous company discounts from our partners.

Individual work environment

Design your ergonomic workspace just the way you like it with height-adjustable desks and the laptop of your choice (MacBook or ThinkPad). If things get a bit noisy in the office your Bose noise-cancelling headphones ensure uninterrupted focus. If needed we can also provide you with an ergonomic chair or additional monitors for your home office.

1 / 2 day off on your birthday

Celebrate your birthday with half a day of vacation! Come in later leave earlier or simply take an additional half day off to have your entire birthday free provided your birthday falls on a regular working day. Additionally you get half a day off on December 24th and 31st.

Office dogs

Our office dogs contribute to a relaxed work atmosphere and are always happy to receive some extra cuddles.

Sustainability

We love second-hand and incorporate our sustainable business idea into the office routine with simple methods like using eco-friendly supplies double-sided printing energy-saving modes on devices waste separation doing so we take responsibility and integrate sustainability into all our activities.

Team events

Having fun at work and celebrating our successes together are core to our values. Thats why we regularly come together at various events to connect get to know each other better and strengthen our team spirit.

Sport and fitness offers

During the week you have the opportunity to take part in various sports activities. Whether its online training massages or stretching at your desk theres something for everyone. You can also get a discounted membership for Urban Sports Club or Wellhub.

Apply now!

We value diverse teamsfor many reasons and are happy to welcome you no matter your nationality ethnicity gender religion disability age or sexual orientation. What matters to us is that you are passionate talented willing to learn and want to grow with us.

Do you have questions Feel free to reach out!

MarijaSevcovica

Recruiterin

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