AI​/ML Engineer; m​/f​/d

Join to apply for the AI/ML Engineer/Researcher (m/f/d) role at XO Life

Join to apply for the AI/ML Engineer/Researcher (m/f/d) role at XO Life

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What We Look For

We are seeking a talented and experienced AI/ML Engineer/Researcher to join our team and drive innovation in artificial intelligence and machine learning. This role combines cutting-edge research with practical implementation, requiring both theoretical knowledge and hands-on engineering skills.

What We Look For

We are seeking a talented and experienced AI/ML Engineer/Researcher to join our team and drive innovation in artificial intelligence and machine learning. This role combines cutting-edge research with practical implementation, requiring both theoretical knowledge and hands-on engineering skills.

Your mission

Research & Development

• Design and implement novel machine learning algorithms and models
• Conduct research on emerging AI/ML techniques and technologies
• Stay current with latest developments in AI/ML field

• Build and deploy ML models in production environments
• Optimize model performance, scalability, and efficiency
• Develop ML infrastructure and pipelines
• Collaborate with engineering teams to integrate ML solutions

• Analyze large-scale datasets to extract meaningful insights
• Design and implement data preprocessing pipelines
• Ensure data quality and integrity throughout ML/AI workflows
• Develop metrics and evaluation frameworks for ML/AI systems

• Work closely with product managers, engineers, and stakeholders
• Present findings and recommendations to technical and non-technical audiences
• Participate in code reviews and maintain high code quality standards

• PhD in Computer Science, Machine Learning / Artificial Intelligence, Statistics or related fields
• OR Master's degree with 3+ years of relevant industry experience
• Strong academic background in mathematics, statistics, and algorithms

• Programming
  
  Languages:
  
  Python, JavaScript/Type Script (aligned with our stack)
• ML/AI:
  Vertex AI, Lang Graph, Tensor Flow, PyTorch, Scikit-learn, Keras
• Cloud Platforms: AWS, GCP
• Data Tools:
  Snowflake, Apache Superset, MongoDB, Pandas, Num Py, Jupyter notebooks
• MLOps:
  Docker, Kubernetes, CI/CD for ML pipelines
• Version Control:
  Git, experiment tracking tools (MLflow, Weights & Biases)

• Deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning)
• Experience with deep learning architectures (CNNs, RNNs, Transformers)
• Knowledge of statistical methods and experimental design
• Familiarity with big data processing frameworks (Spark, Dask)

• Strong analytical and problem-solving abilities
• Excellent communication and presentation skills in English (both written and spoken) are required for this role. (German language skills are a plus, but not required.)
• Ability to work independently and manage multiple projects
• Collaborative mindset and team player attitude

• Experience with health domains
  
  Experience with distributed computing and parallel processing
• Knowledge of software engineering best practices
• Experience with A/B testing and experimentation frameworks
• Familiarity with edge computing and model optimization

• Top Tech company in Digital Health: A dynamic, high-growth environment where everyone in the team depends on each other's performance. You can see your impact. We learn and develop quickly.
• True impact in healthcare:
  What we are building with our brite platform is unique worldwide, ambitious, and could have a huge impact on billions of people who are ill or interested in health.
• International team:
  We are 14 nationalities working across Europe. We bring different mentalities and cultures with us, but we are all aligned towards our grand vision.
• 100% remote with best IT equipment:
  We work 100% remotely, meet regularly for special team events and team offsite weeks, for example in Tuscany, the Alps, or Mallorca. You will receive a Mac computer so that you are already technically up to speed.

• Initial Screening:
  Technical phone/video introductory and experience call
• Principles & Values:
  Cultural fit and technical experience discussion
• Technical Deep Dive:
  Review a demo or a specific case study